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Paper Citation Record · LEDGER

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video

As of 11 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2509.03499.

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

pith.paper-citation-record.v1
2509.03499 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:56:10.613867Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T20:22:46.220021Z

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

20 of 20 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation b92be2c2-861e-4add-b723-c7cc8fdb92e8 · outbound

This paper cites MBARI’s video annotation and reference system,.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video MBARI’s video annotation and reference system,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:56:10.961183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T10:56:10.525282Z digest=sha256:0f8113db18558e15ea0755ec45788d3d5474ffa4d06de8466b039fd2b6d48908

Observation e434e55d-3f13-4822-a82d-22663f001bcf · outbound

This paper cites Visual tracking of deep- water animals using machine learning-controlled robotic underwater vehicles,.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video Visual tracking of deep- water animals using machine learning-controlled robotic underwater vehicles,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:56:10.945591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T10:56:10.530039Z digest=sha256:c47b48629322bf520f9645b69551532520c49dbfdc5328f6cb3752c26e7a0529

Observation aa35c521-b107-482a-9dfd-22de41bf39d1 · outbound

This paper cites MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T10:56:10.535122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:56:10.535122Z digest=sha256:5e33a5fbf6889a1800b1da727fac4e114a7ae0ccf21755c3f761ad132b555355

Observation 06bbdb9e-8ea7-4af1-af3d-10dc32d30af6 · outbound

This paper cites AnimalTrack: A benchmark for multi-animal tracking in the wild,.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video AnimalTrack: A benchmark for multi-animal tracking in the wild,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-05T10:56:10.926160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T10:56:10.540657Z digest=sha256:b98ae83941bcb08347d54e833d9440aa4965c1a650aad98f69e7690265467a57

Observation b52cc97a-8ddc-4ad5-bb31-2bcc412f65c1 · outbound

This paper cites Object tracking benchmark,.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video Object tracking benchmark,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:56:10.910011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T10:56:10.545519Z digest=sha256:c18e01a4a47def7180b9d3592b4b261b7d838e863693946eeb5c61419b84e035

Observation 4248b381-c420-41ff-8c1d-e9eaf9ec10e4 · outbound

This paper cites Transparent object tracking benchmark,.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video Transparent object tracking benchmark,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:56:10.893800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T10:56:10.550519Z digest=sha256:7e73b71cb3ce5bee4b1389efd26db9c36c2f9f69c0732118b15c9f84b8a565f6

Observation 32848d4d-4494-4590-9017-e21f19a165aa · outbound

This paper cites Light in the ocean’s midwaters,.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video Light in the ocean’s midwaters,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:56:10.878635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T10:56:10.555670Z digest=sha256:792e4c63f834ec86e0dbabeff242c407be9974590ab6e0b8325eed1e92a015ec

Observation c7776377-93b5-4e5c-af0f-dc9365fb71f5 · outbound

This paper cites Gage and P.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video Gage and P

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:56:10.862868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T10:56:10.560107Z digest=sha256:ac76ed6615430834c3d098a22ea6e06dc9fcee87dd719665ff805f66507994e1

Observation 99cfb66c-abd4-461b-b8bb-30b2c39d0da3 · outbound

This paper cites Ultralytics YOLOv8,.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video Ultralytics YOLOv8,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T10:56:10.564630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:56:10.564630Z digest=sha256:8ee5abd90e62444fe14ece7ae250f039fc90907a0c3b1d55cb17da07db21c0a9

Observation 4bde76be-9937-4cf0-9e35-0495f7c875b4 · outbound

This paper cites Ultralytics YOLOv8,.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video Ultralytics YOLOv8,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:56:10.837087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T10:56:10.568975Z digest=sha256:ced33b3834993ee29ed9ae36012bf1a63344e0fecc6b7aeff0f6639282dc1d7a

Observation 1c6d1a5c-92e2-42b1-96fc-f76bd898506c · outbound

This paper cites ByteTrack,.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video ByteTrack,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:56:10.822319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T10:56:10.573381Z digest=sha256:1ab65807d775c74bf61f1ff8dadbe284a09ceb494d8058139157708478d59539

Observation ff4c9cf6-fe75-43a8-a64b-741a948338c4 · outbound

This paper cites HOTA: A higher order metric for evaluating MOT,.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video HOTA: A higher order metric for evaluating MOT,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:56:10.806767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T10:56:10.578045Z digest=sha256:f682e3c78ad0b6a0ab8aecb650179b4a850a0619be8711087bee7c3fbeaa5261

Observation 59903352-d7ba-4f25-a98d-d79cc439d166 · outbound

This paper cites TrackEval,.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video TrackEval,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:56:10.789493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T10:56:10.582868Z digest=sha256:d819d05c65fe7522dfd2b22096e5985257b6b176bab9478b7f6cb1a2483bd8cd

Observation 5d14109d-b8ac-4720-81f3-c9407a777a3c · outbound

This paper cites FathomNet Megalodon object detector,.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video FathomNet Megalodon object detector,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:56:10.771732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T10:56:10.587505Z digest=sha256:3bc16071e83c9c146b04ade001f99690189d95d651f5aee09070460fde17320a

Observation 94de4672-6aad-4f3c-ac34-e0c647244210 · outbound

This paper cites BoT-SORT: Robust Associations Multi-Pedestrian Tracking.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video BoT-SORT: Robust Associations Multi-Pedestrian Tracking

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T10:56:10.591553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:56:10.591553Z digest=sha256:3e321701503230aa643529e242c14a7360a5d193928ba52d7158c0d5aa66a08f

Observation 58e68dd3-193a-466d-9e01-2b637f1ce5ad · outbound

This paper cites BoxMOT: pluggable SOTA tracking modules for object detection, segmentation and pose estimation models,.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video BoxMOT: pluggable SOTA tracking modules for object detection, segmentation and pose estimation models,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:56:10.756767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T10:56:10.595985Z digest=sha256:e687a6129a7ece1500aefef26387c54c53fb6600986e3881752621734e03d9db

Observation f3fec1b2-ce7a-4e03-859b-f2d545a1bd6f · outbound

This paper cites BoostTrack,.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video BoostTrack,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:56:10.740977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T10:56:10.600145Z digest=sha256:bea20ce8a0573a64522a36332f0fbc06ef78edef5bce243170cced74cafe64cf

Observation 347c449d-e6fc-4af7-a4d1-a15ac597fd89 · outbound

This paper cites StrongSORT,.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video StrongSORT,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:56:10.725844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T10:56:10.604397Z digest=sha256:583fe15292f4463205eefbe0984600980f2eca3e92ceba86b2ab08514b164811

Observation d29f203d-c702-4893-82a0-d026de9e833f · outbound

This paper cites Observation- centric SORT,.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video Observation- centric SORT,

Reference 19

Resolution
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raw_fallback, observed 2026-08-05T10:56:10.709371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T10:56:10.609583Z digest=sha256:bb143304da19d144a9f934572774ba9d27ce46e0d04d64b5189ba237b0176432

Observation 4a04b2eb-7093-4b49-8573-f8ec8da164a8 · outbound

This paper cites Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identification.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identification

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T10:56:10.613867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:56:10.613867Z digest=sha256:b66ee67f3343500829d7e4c2dd174fd99fe37ae61f9e88535cbf8c821e444e83

Pith citing papers

Observation 2a4cb442-38fc-4d48-ae34-39900a057a93 · inbound

SAM 3: Segment Anything with Concepts cites this paper.

SAM 3: Segment Anything with Concepts DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:25:11.218899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-17T20:22:46.220021Z digest=sha256:5e232dbe7517fe32ce18d211d54fb7d51c5a41412764222b66c31ea7b4ebf06f