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Paper Citation Record · LEDGER

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2110.06864.

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

pith.paper-citation-record.v1
2110.06864 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:54:10.896956Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

106
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6fcce343-b4e6-4bb0-a979-4731106748a3 · inbound

A Framework for Multi-View Multiple Object Tracking using Single-View Multi-Object Trackers on Fish Data cites this paper.

A Framework for Multi-View Multiple Object Tracking using Single-View Multi-Object Trackers on Fish Data ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:10.896956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:10.896956Z digest=sha256:36b6ce4e09ba27ca5bdb8c04cce4e97805fd9edb7a002fcf7a5d41a5facf56dc

Observation 907eddad-2302-4648-af60-76df278837e5 · inbound

ZooplanktonBench: A Geo-Aware Zooplankton Recognition and Classification Dataset from Marine Observations cites this paper.

ZooplanktonBench: A Geo-Aware Zooplankton Recognition and Classification Dataset from Marine Observations ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:27.458356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:27.458356Z digest=sha256:157451c8b9747c5773cda757b932782fd8fbb764bb2e6b3d7b96e14be5a45025

Observation 8ddaa5fa-3700-4710-b86f-137bfbf5d94b · inbound

YOLOv8-SMOT: An Efficient and Robust Framework for Real-Time Small Object Tracking via Slice-Assisted Training and Adaptive Association cites this paper.

YOLOv8-SMOT: An Efficient and Robust Framework for Real-Time Small Object Tracking via Slice-Assisted Training and Adaptive Association ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T17:00:12.429721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:00:12.429721Z digest=sha256:e79339f9c93e08276460f50fbd449231bc4a9b1b4f203ad69744e5bd2e9dbe42

Observation 38754eaf-d359-40f9-97f6-7d938eecb7de · inbound

Design Insights and Comparative Evaluation of a Hardware-Based Cooperative Perception Architecture for Lane Change Prediction cites this paper.

Design Insights and Comparative Evaluation of a Hardware-Based Cooperative Perception Architecture for Lane Change Prediction ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T15:18:16.964746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:18:16.964746Z digest=sha256:9e50e7fddaff2581624b17512aa9cf69e064b24efea924eb38dd93aed7e408ab

Observation bdbb4810-3a6c-4336-aaab-56270569560b · inbound

Occlusion-Aware Multi-Object Tracking via Expected Probability of Detection cites this paper.

Occlusion-Aware Multi-Object Tracking via Expected Probability of Detection ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-17T04:59:04.004405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T04:56:42.785259Z digest=sha256:8b2aad82eefb07f7a66e8cd84ad43d068db39b0b79337abd4e11f2a788360d17

Observation 7972c041-bf74-45de-9a43-a71c5b5295c2 · inbound

CD-TWINSAFE: A ROS-enabled Digital Twin for Scene Understanding and Safety Emerging V2I Technology cites this paper.

CD-TWINSAFE: A ROS-enabled Digital Twin for Scene Understanding and Safety Emerging V2I Technology ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-21T15:10:16.540549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T15:09:12.583093Z digest=sha256:e379a5e0bcc5f9d6572c9684981414f21671ad76ee1161ac23812cbd4614e666

Observation 8983e44d-dc94-4883-a91d-8277bb553a1d · inbound

Time-series Meets Complex Motion Modeling: Robust and Computational-effective Motion Predictor for Multi-object Tracking cites this paper.

Time-series Meets Complex Motion Modeling: Robust and Computational-effective Motion Predictor for Multi-object Tracking ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-09T20:06:36.915579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T20:06:15.236940Z digest=sha256:4608b0ec2e6f62625bd6bdae4dd6a9d0a4c3bf2568d7b05df8e523dcc6576117

Observation c5a38dce-025a-4de7-a64b-90bf680a0b5f · inbound

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations cites this paper.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:55:24.133146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T05:54:39.274211Z digest=sha256:90475522384db8c5afc5e8910272058709da729e4c52869d37fb72e132dd564f

Observation 67affccb-c0ef-4f2c-9132-bdfc5a6b270f · inbound

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations cites this paper.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:44:55.731164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T16:44:40.636204Z digest=sha256:032e438049f0e6e4b2d36e0e0d0bafc2f7cf36b8c2dc7bee7b8d8072b035dd67

Observation 79dfed61-be6e-42fb-bd42-1863874c872d · inbound

Kairos: A Regret-Aware Native World-Action Model Stack for Physical AI cites this paper.

Kairos: A Regret-Aware Native World-Action Model Stack for Physical AI ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:28:44.949263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T04:02:53.110012Z digest=sha256:2e6e85e49ddcc4273e4e5895dbda82a2de3fb519388886d8e48a8c520a4e9105

Observation 9b2b5ed8-0979-458a-8c5e-20a8c775fef2 · inbound

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing cites this paper.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-11T11:26:33.422369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:26:33.422369Z digest=sha256:f3bdacd2d9ad984bf92cd5bf5dd7a6bbe6f221f61ffa8db634868f33ee60e2ae