Paper Citation Record · LEDGER

Track Anything Annotate: Video annotation and dataset generation of computer vision models

As of 8 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2505.17884.

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

pith.paper-citation-record.v1
2505.17884 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:40:46.997149Z

measured 12 of 12 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 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

12 of 12 outbound references displayed

verified exact0
verified fuzzy10
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b84944a-8b1e-4715-bb51-24b0b4ed6e77 · outbound

This paper cites Creation of a painting dataset for use in artificial intelligence tasks.

Track Anything Annotate: Video annotation and dataset generation of computer vision models Creation of a painting dataset for use in artificial intelligence tasks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:48.802298Z

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 036217e8-2a88-4c9e-ba1f-ae1f869ff92b · outbound

This paper cites Xmem++: Production-level video segmentation from few annotated frames.

Track Anything Annotate: Video annotation and dataset generation of computer vision models Xmem++: Production-level video segmentation from few annotated frames

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:48.622435Z

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 b95fd157-c2e1-4107-9d65-db7c822688fb · outbound

This paper cites Real time object detection and tracking using deep learning and opencv.

Track Anything Annotate: Video annotation and dataset generation of computer vision models Real time object detection and tracking using deep learning and opencv

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:48.442726Z

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 db9c0f54-59b5-4516-819a-887a53330aca · outbound

This paper cites Xmem: Long-term video object seg- mentation with an atkinson-shiffrin memory model.

Track Anything Annotate: Video annotation and dataset generation of computer vision models Xmem: Long-term video object seg- mentation with an atkinson-shiffrin memory model

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:48.267673Z

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 11246d40-ac72-4ea9-b4cd-1a0bd3fad811 · outbound

This paper cites Vgg image annotator (via), 2016.

Track Anything Annotate: Video annotation and dataset generation of computer vision models Vgg image annotator (via), 2016

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:48.111959Z

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 81ffc63f-0f93-4988-9d87-dba9b40a8cda · outbound

This paper cites Faster rcnn detection based opencv csrt tracker using drone data.

Track Anything Annotate: Video annotation and dataset generation of computer vision models Faster rcnn detection based opencv csrt tracker using drone data

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:47.958353Z

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 201130c2-6ee0-48ae-b0de-de05d8f257b4 · outbound

This paper cites Object tracking using csrt tracker and rcnn.

Track Anything Annotate: Video annotation and dataset generation of computer vision models Object tracking using csrt tracker and rcnn

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:47.763888Z

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 7f35eba8-d85a-4344-b17c-75bde3b4cc31 · outbound

This paper cites Mask r-cnn.

Track Anything Annotate: Video annotation and dataset generation of computer vision models Mask r-cnn

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:47.616655Z

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 693d8553-5442-4545-bf29-c470b22a032b · outbound

This paper cites Integrations of labelimg, you only look once (yolo), and open source computer vision library (opencv) for chicken open mouth detection.

Track Anything Annotate: Video annotation and dataset generation of computer vision models Integrations of labelimg, you only look once (yolo), and open source computer vision library (opencv) for chicken open mouth detection

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:47.493294Z

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 1380e0ea-dc8b-4459-854b-8fc0c8514206 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Track Anything Annotate: Video annotation and dataset generation of computer vision models SAM 2: Segment Anything in Images and Videos

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:46.663619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3882c8ab-f02c-4ab2-b68f-a47c5def91e5 · outbound

This paper cites Object detec- tion using opencv and python.

Track Anything Annotate: Video annotation and dataset generation of computer vision models Object detec- tion using opencv and python

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:47.287278Z

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 0fe23ee0-83d0-4a45-ad37-26c9adec157e · outbound

This paper cites Fast Segment Anything.

Track Anything Annotate: Video annotation and dataset generation of computer vision models Fast Segment Anything

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:46.997149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.