Pith. sign in

Paper Citation Record · LEDGER

OceanGPT: A Large Language Model for Ocean Science Tasks

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2310.02031.

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

pith.paper-citation-record.v1
2310.02031 v8

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:51:13.124747Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:35:46.154475Z

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 b20608e6-1d6e-4f16-8090-718d60c16447 · inbound

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono cites this paper.

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono OceanGPT: A Large Language Model for Ocean Science Tasks

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-10T21:51:13.124747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:51:13.124747Z digest=sha256:0eb2d1b56ff6bc92691e1d52720a90c9f9fbdcce4145b78b29bcdea1a6857215

Observation d0304951-ca35-4e28-8ac5-5ed0ea7f3ad2 · inbound

SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs cites this paper.

SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs OceanGPT: A Large Language Model for Ocean Science Tasks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-09T10:43:47.284874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:43:47.284874Z digest=sha256:52f12243fbbd06416297b070f3a741c8237b3577fab9ba5a3faf49827c0dcc35

Observation 2c3c1228-c1b4-4c39-9413-110048decd5f · inbound

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead cites this paper.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead OceanGPT: A Large Language Model for Ocean Science Tasks

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:17.383015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:17.383015Z digest=sha256:9c86c898c3a821e5ab5a998363c7a77cd20ffa68508e484bcd74403712c62b6b

Observation 6f7f9f8a-0dc7-4e7c-b5ab-106c5b6bd07a · inbound

EarthSE: A Benchmark for Evaluating Earth Scientific Exploration Capability of LLMs cites this paper.

EarthSE: A Benchmark for Evaluating Earth Scientific Exploration Capability of LLMs OceanGPT: A Large Language Model for Ocean Science Tasks

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:20.576960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:10:20.576960Z digest=sha256:f136880b847bdfe0de40a32d135caba0b1d17784ff32c2f8ef0bddbd19c21a92

Observation 8d49d1c1-2884-4b05-a7ff-7478f171c20a · inbound

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications cites this paper.

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications OceanGPT: A Large Language Model for Ocean Science Tasks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:11.014332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:11.014332Z digest=sha256:5dc3bc2cf15aa6e02b84b7e1a8cbcf314742ca0af2ced8d6c3b74ec4d4dd7e04

Observation 5cebbf0d-79c0-42ce-8398-c7013802e66a · inbound

BioPars: A Pretrained Biomedical Large Language Model for Persian Biomedical Text Mining cites this paper.

BioPars: A Pretrained Biomedical Large Language Model for Persian Biomedical Text Mining OceanGPT: A Large Language Model for Ocean Science Tasks

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T04:29:39.657508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:39.657508Z digest=sha256:f0c91f77f235c582588a9e7ebb2a237dbd0e654cd048748ab675555eba19e8cf

Observation f3d96b83-4cc5-4b1b-ba5c-c8e9068cfe01 · inbound

A Review of Generative AI in Aquaculture: Foundations, Applications, and Future Directions for Smart and Sustainable Farming cites this paper.

A Review of Generative AI in Aquaculture: Foundations, Applications, and Future Directions for Smart and Sustainable Farming OceanGPT: A Large Language Model for Ocean Science Tasks

Reference 238

Resolution
unresolved
no resolver link, observed 2026-08-06T17:00:38.455068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:00:38.455068Z digest=sha256:446ad3f128af1d33d385fb5da5cd5c605a1d250dcfd8d78463e2a9a03cc0b3a0

Observation 33df4e36-5836-4606-b17a-b6b3afbbd179 · inbound

AquaChat: An LLM-Guided ROV Framework for Adaptive Inspection of Aquaculture Net Pens cites this paper.

AquaChat: An LLM-Guided ROV Framework for Adaptive Inspection of Aquaculture Net Pens OceanGPT: A Large Language Model for Ocean Science Tasks

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T15:56:47.979610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:56:47.979610Z digest=sha256:806d535a4f87749fe51e9779342b76dd641e601a6eb4f878ccc13d5c060d1be1

Observation 9be6b276-c4b3-4f1c-a661-ba730b1fa4ec · inbound

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

Earth Science Foundation Models: From Perception to Reasoning and Discovery OceanGPT: A Large Language Model for Ocean Science Tasks

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:03.727525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T22:07:40.242567Z digest=sha256:8e9a3250394f37ced3401569e8a0d4b2bf8020051db2c8a0a1560f18a74110f6

Observation 3e987554-634a-4093-9b2d-73af4136ac1f · inbound

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

Earth Science Foundation Models: From Perception to Reasoning and Discovery OceanGPT: A Large Language Model for Ocean Science Tasks

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:35:46.156698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T23:07:21.558834Z digest=sha256:55959f495fe02d3c8852c49b0d637032246685e0df6df148b46bd39222b2ccbc