Paper Citation Record · LEDGER

MarineGPT: Unlocking Secrets of Ocean to the Public

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.13596.

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

pith.paper-citation-record.v1
2310.13596 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:07:46.877890Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:35:46.023504Z

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 4773ab7c-b361-486a-b6c3-c61607ef9485 · inbound

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

AquaticCLIP: A Vision-Language Foundation Model for Underwater Scene Analysis MarineGPT: Unlocking Secrets of Ocean to the Public

Reference 140

Resolution: unresolved; no resolver link, observed 2026-08-09T14:32:37.022435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c67d58d7-651c-44ef-a608-17dd9ecca77b · inbound

Continual Pre-Training is (not) What You Need in Domain Adaption cites this paper.

Continual Pre-Training is (not) What You Need in Domain Adaption MarineGPT: Unlocking Secrets of Ocean to the Public

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T12:07:46.877890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a47166bb-20b2-43f8-bf9b-73889f7c3b6f · 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 MarineGPT: Unlocking Secrets of Ocean to the Public

Reference 257

Resolution: verified exact; arxiv_id, observed 2026-05-19T02:06:58.826587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9862ed14-be99-4d5e-bd97-48d488c73e3a · inbound

AI-Driven Marine Robotics: Emerging Trends in Underwater Perception and Ecosystem Monitoring cites this paper.

AI-Driven Marine Robotics: Emerging Trends in Underwater Perception and Ecosystem Monitoring MarineGPT: Unlocking Secrets of Ocean to the Public

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-18T20:31:50.454169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2c102a75-e90a-4858-8420-416f8da108c1 · inbound

OceanPile: A Large-Scale Multimodal Ocean Corpus for Foundation Models cites this paper.

OceanPile: A Large-Scale Multimodal Ocean Corpus for Foundation Models MarineGPT: Unlocking Secrets of Ocean to the Public

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:56:06.872033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 10ee97dd-9ade-40fe-b8fc-f09e18568f9b · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery MarineGPT: Unlocking Secrets of Ocean to the Public

Reference 217

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:08:03.440815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9c508b85-cfed-49c1-a565-4923ca3bd062 · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery MarineGPT: Unlocking Secrets of Ocean to the Public

Reference 217

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:35:46.025249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.