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Paper Citation Record · LEDGER

The Fishnet Open Images Database: A Dataset for Fish Detection and Fine-Grained Categorization in Fisheries

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2106.09178.

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

pith.paper-citation-record.v1
2106.09178 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:32:36.801409Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T02:06:58.787524Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4a06a3c6-98bc-4e48-82c7-0cbeaf5f4520 · inbound

AquaticCLIP: A Vision-Language Foundation Model for Underwater Scene Analysis cites this paper.

AquaticCLIP: A Vision-Language Foundation Model for Underwater Scene Analysis The Fishnet Open Images Database: A Dataset for Fish Detection and Fine-Grained Categorization in Fisheries

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-09T14:32:36.801409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:32:36.801409Z digest=sha256:2d66126fb3a139197f8f101e28e05d8abffbd822edd154ad1ca3c4d19f4d282a

Observation 701f176e-953b-4f2c-b74c-cb2aece5c5b5 · inbound

AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and Livestock cites this paper.

AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and Livestock The Fishnet Open Images Database: A Dataset for Fish Detection and Fine-Grained Categorization in Fisheries

Reference 266

Resolution
verified exact
arxiv_id, observed 2026-05-19T02:06:58.789876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T02:03:46.331803Z digest=sha256:94c870d599b988dec4755f7d40e20ba615bfddd799de32b16ba9f5ed83b7c269

Observation 75e04259-ed6a-4e34-9b9d-dbcc42c56322 · inbound

Deep Learning for Accurate Vision-based Catch Composition in Tropical Tuna Purse Seiners cites this paper.

Deep Learning for Accurate Vision-based Catch Composition in Tropical Tuna Purse Seiners The Fishnet Open Images Database: A Dataset for Fish Detection and Fine-Grained Categorization in Fisheries

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-04T06:49:05.934240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:05.934240Z digest=sha256:4044740c933eccaee6f89bf9d910f5b1e7e653bef0dc2ef6b14019a7378141a3