Paper Citation Record · LEDGER

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models

As of 7 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2506.07375.

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

pith.paper-citation-record.v1
2506.07375 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:40:34.320493Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T17:16:38.347066Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T15:15:47.200997Z

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy26
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b5301dd-9456-48e9-9533-b25143c47a6a · outbound

This paper cites Macim: Multi-agent collaborative implicit mapping,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Macim: Multi-agent collaborative implicit mapping,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.672771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6ea01c9b-fe1e-4bf1-82a6-bcc05056754e · outbound

This paper cites Multi- view robust collaborative localization in high outlier ratio scenes based on semantic features,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Multi- view robust collaborative localization in high outlier ratio scenes based on semantic features,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.661333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46052037-7cb2-4f44-9dac-a65a0e12fe88 · outbound

This paper cites Collaborative 3d object detection for autonomous vehicles via learnable communications,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Collaborative 3d object detection for autonomous vehicles via learnable communications,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.649981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 76cd70cf-ded9-4f96-9fcc-0e36a1eafdd9 · outbound

This paper cites F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3D point clouds,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3D point clouds,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.638407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 61d94fb0-4c2e-467c-9c89-9216a5cba8d6 · outbound

This paper cites V2x-vit: Vehicle-to-everything cooperative perception with vision transformer,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models V2x-vit: Vehicle-to-everything cooperative perception with vision transformer,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.626578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 196c12cc-7354-4e7d-a49a-819f763f2194 · outbound

This paper cites Robust collaborative perception against temporal information disturbance,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Robust collaborative perception against temporal information disturbance,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.614498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 19248bbe-28b6-4f5a-abd5-3e3a26f92a3c · outbound

This paper cites Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to- vehicle communication,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to- vehicle communication,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.603033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a08d0ef1-b5bc-4b8f-a21c-cf5635839a11 · outbound

This paper cites V2x-real: a largs-scale dataset for vehicle-to-everything cooperative perception,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models V2x-real: a largs-scale dataset for vehicle-to-everything cooperative perception,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.590923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4b9605b7-ea3c-4b94-b2b4-2f71586ae24a · outbound

This paper cites Efficient vehicle- infrastructure collaborative perception based on vehicle re-identification and mini-icp algorithm,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Efficient vehicle- infrastructure collaborative perception based on vehicle re-identification and mini-icp algorithm,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.579440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 76dae3d4-ea14-4eed-ab2c-cfb8affc30d9 · outbound

This paper cites V2vformer++: Multi-modal vehicle-to-vehicle cooperative perception via global-local transformer,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models V2vformer++: Multi-modal vehicle-to-vehicle cooperative perception via global-local transformer,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.567721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9dfe6f54-2c4d-4485-8a7b-ba506d9dfc29 · outbound

This paper cites Probabilistic 3d multi-object cooperative tracking for autonomous driving via differ- entiable multi-sensor kalman filter,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Probabilistic 3d multi-object cooperative tracking for autonomous driving via differ- entiable multi-sensor kalman filter,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.555765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e155cbf2-daf7-45dd-aced-6e6623e18aa9 · outbound

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

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Fast-poly: A fast polyhedral algorithm for 3d multi-object tracking,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.544883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9432761f-44a0-4be3-9b00-0c1fceadbae5 · outbound

This paper cites Dinov2: Learning robust visual features without supervision,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Dinov2: Learning robust visual features without supervision,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:40:34.255319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f624ce42-f7eb-494d-9aa9-63712e2fa198 · outbound

This paper cites Conftrack: Kalman filter-based multi-person tracking by utilizing confidence score of detection box,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Conftrack: Kalman filter-based multi-person tracking by utilizing confidence score of detection box,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.526829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cebf673a-42ca-4075-8806-f74f819dd39f · outbound

This paper cites AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.515377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ed151d4c-4cc9-4ae6-a02c-a85b1d79b8e2 · outbound

This paper cites Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.504862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0f93fc68-f10b-4343-bf64-02a2b7d5492a · outbound

This paper cites Cooperative perception for 3d object detection in driving scenarios using infrastruc- ture sensors,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Cooperative perception for 3d object detection in driving scenarios using infrastruc- ture sensors,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.493930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8c2bd0d3-f27e-43cc-8fcd-182cf2c2313b · outbound

This paper cites Object detection with discriminatively trained part-based models,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Object detection with discriminatively trained part-based models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.483349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation db46c5d3-0727-4d51-ba99-f5fd956ddfd3 · outbound

This paper cites V2vnet: Vehicle-to-vehicle communication for joint perception and prediction,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models V2vnet: Vehicle-to-vehicle communication for joint perception and prediction,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.472138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70919f7d-2788-4877-9151-16ff2741f2fe · outbound

This paper cites When2com: Multi-agent perception via communication graph grouping,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models When2com: Multi-agent perception via communication graph grouping,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.462318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c6247b37-8490-4e69-92ec-7107cb736e5d · outbound

This paper cites Where2comm: Communication-efficient collaborative perception via spatial confidence maps,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Where2comm: Communication-efficient collaborative perception via spatial confidence maps,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.451975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a93995ce-711e-44e7-8a9a-b390ed3b736b · outbound

This paper cites Select2Col: Leveraging spatial-temporal importance of se- mantic information for efficient collaborative perception,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Select2Col: Leveraging spatial-temporal importance of se- mantic information for efficient collaborative perception,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.440140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8c23272c-eca5-41b7-9c14-c17c83e30b5d · outbound

This paper cites Collaboration helps camera overtake lidar in 3D detection,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Collaboration helps camera overtake lidar in 3D detection,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.429101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3bfd63fd-eb56-4e60-8c1d-005c9d1142d9 · outbound

This paper cites CoBEVT: Coop- erative bird’s eye view semantic segmentation with sparse transformers,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models CoBEVT: Coop- erative bird’s eye view semantic segmentation with sparse transformers,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.416560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 60e952c7-2cf6-45d1-821f-63597aa63701 · outbound

This paper cites Dino-mot: 3d multi-object tracking with visual foundation model for pedestrian re- identification using visual memory mechanism,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Dino-mot: 3d multi-object tracking with visual foundation model for pedestrian re- identification using visual memory mechanism,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.405633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation da138498-dd73-4482-b8de-70d866b18379 · outbound

This paper cites Quasi- dense similarity learning for multiple object tracking,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Quasi- dense similarity learning for multiple object tracking,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.393801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8efa25b4-8d0c-4727-ba1c-f19f77ab9208 · outbound

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

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Simple online and realtime tracking with a deep association metric,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:40:34.305000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35a5d8c5-29e5-44f7-80fe-e5d03df29023 · outbound

This paper cites Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:40:34.308502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db7701ec-1e3c-44e4-b5ec-cf5b17b8708a · outbound

This paper cites Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:40:34.312606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bea7e56-2745-4e40-affe-c88c355105d8 · outbound

This paper cites Assignment algorithms for multi-robot multi- target tracking with sufficient and limited sensing capability,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Assignment algorithms for multi-robot multi- target tracking with sufficient and limited sensing capability,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:34.369522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8c72fe63-1643-42b8-b629-f62576aa0ec5 · outbound

This paper cites Anyloc: Towards universal visual place recognition,.

DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models Anyloc: Towards universal visual place recognition,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:40:34.320493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0b69c2fe-00b0-4969-9666-6d6c646795f0 · inbound

Towards Large Model Feature Coding cites this paper.

Towards Large Model Feature Coding DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:15:47.203056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.