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Paper Citation Record · LEDGER

Stable at Any Speed: Speed-Driven Multi-Object Tracking with Learnable Kalman Filtering

As of 16 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2508.00358.

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

pith.paper-citation-record.v1
2508.00358 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:17:26.560958Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

7 of 7 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8805111c-612f-4238-89ba-1f90daefcf44 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Stable at Any Speed: Speed-Driven Multi-Object Tracking with Learnable Kalman Filtering Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T10:17:25.966146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:17:25.966146Z digest=sha256:e1ae2ad33b52bbf7d5ea426d0820f7f950f95b6f6c89e6a391cd26ac3d9af3b5

Observation 7d554643-4a3b-4f3c-b805-05059ec642e0 · outbound

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

Stable at Any Speed: Speed-Driven Multi-Object Tracking with Learnable Kalman Filtering RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloud

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T10:17:26.220900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:17:26.220900Z digest=sha256:2264afcf88d71df361c040422600dd23955b0ec740660705b29a7801681c5504

Observation 352b0e45-a4c7-4e21-a981-2af56c8dfc53 · outbound

This paper cites International Journal of Computer Vision, 1–26.

Stable at Any Speed: Speed-Driven Multi-Object Tracking with Learnable Kalman Filtering International Journal of Computer Vision, 1–26

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:17:27.026029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T10:17:26.560958Z digest=sha256:318dca3409ae2df0187bf5ea1480f18cad7d55a2ec66582bb3199fe04ff34661

Observation 66eaeb34-4a91-4f26-a0d2-4a0a3d2eca27 · outbound

This paper cites In Proceedings of the IEEE/CVF conference on com- puter vision and pattern recognition , 11621–11631.

Stable at Any Speed: Speed-Driven Multi-Object Tracking with Learnable Kalman Filtering In Proceedings of the IEEE/CVF conference on com- puter vision and pattern recognition , 11621–11631

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:17:27.033854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T10:17:25.660613Z digest=sha256:7d125792d72e2567482284fbae7c019e6eb564d6f8aff904c33e196cdf0d9ebd

Observation 8992fc92-b2e9-44e9-bf89-a29d555f10a7 · outbound

This paper cites DEFT: Detection Embeddings for Tracking.

Stable at Any Speed: Speed-Driven Multi-Object Tracking with Learnable Kalman Filtering DEFT: Detection Embeddings for Tracking

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T10:17:25.827116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:17:25.827116Z digest=sha256:91b74b71d0ff3e7987e5a353a354cbaefb9f82ef0aea0b16246e628749d45ce7

Observation f65e3e45-7eb1-49c9-bcee-5c0da40b5376 · outbound

This paper cites Ego-Motion Aware Target Prediction Module for Robust Multi-Object Tracking.

Stable at Any Speed: Speed-Driven Multi-Object Tracking with Learnable Kalman Filtering Ego-Motion Aware Target Prediction Module for Robust Multi-Object Tracking

Reference 2024

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T10:17:26.959723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T10:17:26.104619Z digest=sha256:2e0e87e82d82b6be543d6a5afa590850aae2db62251abc9ddc91a675ae02bba3

Observation 3a789c50-d31a-4069-a46b-79228c69b05f · outbound

This paper cites S3MOT: Monocular 3D Object Tracking with Selective State Space Model.

Stable at Any Speed: Speed-Driven Multi-Object Tracking with Learnable Kalman Filtering S3MOT: Monocular 3D Object Tracking with Selective State Space Model

Reference 2025

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T10:17:26.746531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T10:17:26.396736Z digest=sha256:9db02f3d95b20be98ab3a6fa2b0c56444c174e2375973db85999ca384ddd12f5

Pith citing papers

No inbound Pith citation observations are available.