Paper Citation Record · LEDGER

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model

As of 20 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2505.19568.

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

pith.paper-citation-record.v1
2505.19568 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:34.159445Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy16
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f8409b18-7a74-4cb8-b0d5-7fc194bdf7c1 · outbound

This paper cites Review of maritime transport 2023,.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Review of maritime transport 2023,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:38.256491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b446d03c-badf-4f72-8b56-64c23c35ed07 · outbound

This paper cites an unresolved cited work.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:15:37.821554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8842a9f9-f5c3-495f-8202-5a8bd54d5533 · outbound

This paper cites an unresolved cited work.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:15:37.608255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 56f82beb-48ce-427c-a85e-c58b752ff8af · outbound

This paper cites Development of a non-parametric classifier: Effective identification, algorithm, and applications in port state control for maritime transportation,.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Development of a non-parametric classifier: Effective identification, algorithm, and applications in port state control for maritime transportation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:37.346282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4322a17c-43a3-4afa-834e-4054131c915a · outbound

This paper cites Ship selection in port state control: status and perspectives,.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Ship selection in port state control: status and perspectives,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:37.064790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d4afc7b7-1f1e-4d50-928e-e6925168d7d6 · outbound

This paper cites Ship detention prediction via feature selection scheme and support vector machine (svm),.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Ship detention prediction via feature selection scheme and support vector machine (svm),

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:36.940379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ca51551c-16d4-4b04-8f3b-a99ccc895468 · outbound

This paper cites A data-driven bayesian model for evaluating the duration of detention of ships in psc inspections,.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model A data-driven bayesian model for evaluating the duration of detention of ships in psc inspections,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:36.792609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 77eb04ba-d2a8-48d9-a7de-cdfd74fdbf9c · outbound

This paper cites an unresolved cited work.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:15:36.670299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0fa56359-2e69-44f1-9fcd-ec256cc40d3e · outbound

This paper cites Robust Subspace Recovery Layer for Unsupervised Anomaly Detection.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Robust Subspace Recovery Layer for Unsupervised Anomaly Detection

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:32.625999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29492167-d322-4811-8fee-ea9e2c59677d · outbound

This paper cites An artificial intelligence model con- sidering data imbalance for ship selection in port state control based on detention probabilities,.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model An artificial intelligence model con- sidering data imbalance for ship selection in port state control based on detention probabilities,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:36.543230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cedc8894-a946-401c-a1ab-4305cc521d5b · outbound

This paper cites Ship detention prediction using anomaly detection in port state control: Model and explanation,.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Ship detention prediction using anomaly detection in port state control: Model and explanation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:36.400830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1073b6da-d89e-4a03-844b-a1b128c22771 · outbound

This paper cites Cost-sensitive laplacian logistic regression for ship detention prediction,.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Cost-sensitive laplacian logistic regression for ship detention prediction,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:36.312957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 576f8bd9-fdf9-4641-8795-ea6bf14ccf0f · outbound

This paper cites A machine learning- based bayesian model for predicting the duration of ship detention in psc inspection,.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model A machine learning- based bayesian model for predicting the duration of ship detention in psc inspection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:36.168384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 904fced3-5ea1-4876-91d8-7d0ecde85230 · outbound

This paper cites Interpreting the influential factors in ship detention using a novel random forest algorithm considering dataset imbalance and uncertainty,.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Interpreting the influential factors in ship detention using a novel random forest algorithm considering dataset imbalance and uncertainty,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:35.927622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e1fdde8a-2112-41bf-9037-72e25da469cc · outbound

This paper cites GPT-4 Technical Report.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model GPT-4 Technical Report

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:33.030891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10ffca79-ce9f-449a-9717-007d154a2f63 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model LLaMA: Open and Efficient Foundation Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:33.089382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d1ff42d-7848-4ca7-96fc-8c7a80b53378 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:33.127240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 541c5b3a-5e45-4918-a872-dc80e98a79dc · outbound

This paper cites The Llama 3 Herd of Models.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model The Llama 3 Herd of Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:33.174651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44a70223-ee4d-46ed-b5b8-91faaeade5d6 · outbound

This paper cites Qwen Technical Report.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Qwen Technical Report

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:33.239974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b09fb934-f9a2-41cf-ad58-91181a658e78 · outbound

This paper cites Qwen2.5 Technical Report.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Qwen2.5 Technical Report

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:33.340392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2732e636-8c3b-4991-939b-56a868b40965 · outbound

This paper cites Cogagent: A visual language model for gui agents,.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Cogagent: A visual language model for gui agents,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:35.690058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 556f77a5-9c9d-485b-a38e-4730c508946a · outbound

This paper cites Mobile-Agent-E: Self-Evolving Mobile Assistant for Complex Tasks.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Mobile-Agent-E: Self-Evolving Mobile Assistant for Complex Tasks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:33.463182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe33ea83-aa2f-4a43-bba8-4bc9789aa660 · outbound

This paper cites Rag-driver: Generalisable driving explanations with retrieval- augmented in-context learning in multi-modal large language model,.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Rag-driver: Generalisable driving explanations with retrieval- augmented in-context learning in multi-modal large language model,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:33.529618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e32a581-8c77-4cfa-8241-a546b68b0f83 · outbound

This paper cites Diffusiongpt: Llm-driven text-to-image generation system,.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Diffusiongpt: Llm-driven text-to-image generation system,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:33.597229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 656872d8-58db-408a-ae20-6a48a5bea1cf · outbound

This paper cites Video understanding with large language models: A survey,.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Video understanding with large language models: A survey,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:33.663723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6e4f37b-57f7-43c4-ae28-67a6731fa581 · outbound

This paper cites TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with Spatial-Temporal Agent Framework.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with Spatial-Temporal Agent Framework

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:33.730367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2ae4f32-0808-4939-bb57-135e4aa4815d · outbound

This paper cites Exploring large language models for human mobility prediction under public events,.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Exploring large language models for human mobility prediction under public events,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:35.491491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8a33585c-7a4d-425b-8fe5-459663302b49 · outbound

This paper cites Sora for intelligent vehicles: A step from constraint-based simulation to artificiofactual experiments through dynamic visualization,.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Sora for intelligent vehicles: A step from constraint-based simulation to artificiofactual experiments through dynamic visualization,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:35.306054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7e124a1e-31d3-4dff-8aca-c2522c70f993 · outbound

This paper cites Random forests,.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Random forests,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:33.953197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 848e31c3-03ff-4418-bdb1-fe3bda234a2a · outbound

This paper cites Arcing the edge,.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Arcing the edge,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:35.067128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 233f8ead-6464-4923-8c6a-d0de073fef03 · outbound

This paper cites Isolation forest,.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Isolation forest,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:34.084738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c097bf75-98b9-4f7d-8b25-9173c8c513c0 · outbound

This paper cites Modular learning in neural networks,.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Modular learning in neural networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:34.875872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0b7a5c7b-a459-497b-8b38-9e59f6335f90 · outbound

This paper cites Available: https://unctad.org/system/files/official- document/rmt2023 en.pdf.

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model Available: https://unctad.org/system/files/official- document/rmt2023 en.pdf

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:38.045718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.