Paper Citation Record · LEDGER

NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2005.13359.

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

pith.paper-citation-record.v1
2005.13359 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:17:58.958623Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:36:17.218192Z

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 cf1d90c7-409d-446a-9aad-2d27c0ced841 · inbound

Segment Anything cites this paper.

Segment Anything NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation

Reference 102

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:14:20.190777Z

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 167200e8-44c0-42f9-80d7-24fd7879cf83 · inbound

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

SAM 2: Segment Anything in Images and Videos NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:56:25.454679Z

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 a99311e0-9f55-42c7-a896-00d0bc7279be · inbound

GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation cites this paper.

GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:58.958623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d23f2a49-6e4d-41b8-84f9-aba653abed04 · inbound

Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation cites this paper.

Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:23.814417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03b648dc-de2b-471f-af62-aa7d3ea82937 · inbound

Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks cites this paper.

Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:36:17.220554Z

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.