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Paper Citation Record · LEDGER

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis

As of 20 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2606.13249.

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

pith.paper-citation-record.v1
2606.13249 v1

Coverage vector

measured 27 of 27 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-06-27T06:51:42.344602Z

measured 27 of 27 standing notices

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

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Reference resolution

27 of 27 outbound references displayed

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Outbound references

Observation ad6f2039-6f3d-478e-85de-9e512df8f160 · outbound

This paper cites Maritime anomaly detection based on vae-cusum monitoring system,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Maritime anomaly detection based on vae-cusum monitoring system,

Reference 1

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Observation 74b29aa9-1454-4194-9e3a-7dd5f3a5348e · outbound

This paper cites Grid-based bayesian bootstrap approach for real- time detection of abnormal vessel behaviors from ais data in maritime logistics,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Grid-based bayesian bootstrap approach for real- time detection of abnormal vessel behaviors from ais data in maritime logistics,

Reference 2

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Observation 1bfd9492-5ba3-4868-a62c-be97e1c5bfc1 · outbound

This paper cites Comparative evaluation of vae-based monitoring statistics for real-time anomaly detection in ais data,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Comparative evaluation of vae-based monitoring statistics for real-time anomaly detection in ais data,

Reference 3

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Observation d5b52ed0-f418-4d1d-967a-90e1f573d6fd · outbound

This paper cites Reason,Human Error.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Reason,Human Error

Reference 4

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Observation 32b42a3b-6482-4cc7-b3df-153fad9fd028 · outbound

This paper cites A review of human error in maritime accidents: Ap- proaches and applications,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis A review of human error in maritime accidents: Ap- proaches and applications,

Reference 5

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Observation deddc0ad-bd1d-4dfb-8fab-6766f42ee0fe · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive NLP tasks,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Retrieval- augmented generation for knowledge-intensive NLP tasks,

Reference 6

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Observation f9a7d32a-390e-48f0-97f0-10b4eb545e8a · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 7

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local_arxiv, observed 2026-07-03T14:58:32.638037Z

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Observation 83365b98-19d8-4165-9baf-f1715601a17a · outbound

This paper cites Application of kernel principal com- ponent analysis to multi-characteristic parameter design problems,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Application of kernel principal com- ponent analysis to multi-characteristic parameter design problems,

Reference 8

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Observation b2a288eb-a872-4900-bcc2-a5cd3e6ebbe5 · outbound

This paper cites The probabilistic relevance frame- work: BM25 and beyond,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis The probabilistic relevance frame- work: BM25 and beyond,

Reference 9

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Observation 488f7aea-4c37-4caa-adc2-bf0b1dcc85de · outbound

This paper cites BEINGS: Bayesian Embodied Image-goal Navigation with Gaussian Splatting.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis BEINGS: Bayesian Embodied Image-goal Navigation with Gaussian Splatting

Reference 10

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Observation a0df33e0-6862-4f73-bdaf-c4eedc38275d · outbound

This paper cites Reciprocal rank fusion outperforms condorcet and individual rank learning methods,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Reciprocal rank fusion outperforms condorcet and individual rank learning methods,

Reference 11

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Observation a4599bee-8e2f-4d27-9dea-b722d9d5916e · outbound

This paper cites A hybrid prompt agent for maritime ais data analysis: performance optimization through query classification and dynamic routing,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis A hybrid prompt agent for maritime ais data analysis: performance optimization through query classification and dynamic routing,

Reference 12

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Observation 108373e7-778b-490d-9cc3-65c146d72066 · outbound

This paper cites Structured document retrieval for NLU,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Structured document retrieval for NLU,

Reference 13

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Observation 4b7de4e8-5e9f-405a-b8ef-731d7fcb0b91 · outbound

This paper cites Contextual anomaly detection for high- dimensional data using dirichlet process variational autoencoder,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Contextual anomaly detection for high- dimensional data using dirichlet process variational autoencoder,

Reference 14

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Observation b1abaadd-6947-49a1-8bad-421e0ed5f024 · outbound

This paper cites Snorkel: Rapid training data creation with weak supervision,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Snorkel: Rapid training data creation with weak supervision,

Reference 15

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Observation 1f677683-c273-4fc4-95e0-4edc69da7207 · outbound

This paper cites Developing a model for predicting of ships accident using multi-task learning,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Developing a model for predicting of ships accident using multi-task learning,

Reference 16

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Observation 48ed4e5f-08ac-42aa-8fbc-fa3918fc3a28 · outbound

This paper cites A study on the causes of marine accidents and prevention of marine accidents in vessels,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis A study on the causes of marine accidents and prevention of marine accidents in vessels,

Reference 17

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Observation 903b1f00-dfb1-4e96-97bd-4357e1bb4f33 · outbound

This paper cites Quantifying incident impacts and identifying influential features in urban traffic networks,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Quantifying incident impacts and identifying influential features in urban traffic networks,

Reference 18

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Observation 497a0c24-c9a2-4d2c-8071-0304737ea868 · outbound

This paper cites Causation analysis of marine traffic accidents using deep learning approaches: A case study from china’s coasts,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Causation analysis of marine traffic accidents using deep learning approaches: A case study from china’s coasts,

Reference 19

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Observation ffa3f0ef-a4e5-498c-8407-563a92365a38 · outbound

This paper cites Sequence labeling-based multi- ple causal relations extraction using pre-trained language model for maritime accident prevention,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Sequence labeling-based multi- ple causal relations extraction using pre-trained language model for maritime accident prevention,

Reference 20

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Observation b9515142-20fb-4d6a-ac7a-baa15f1933dc · outbound

This paper cites Maritime safety tribunal ruling analysis using SentenceBERT,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Maritime safety tribunal ruling analysis using SentenceBERT,

Reference 21

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Observation 47f68b33-c228-47d1-aed8-fc0e36a51da4 · outbound

This paper cites Makg: A maritime accident knowledge graph for intelligent accident analysis and management,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Makg: A maritime accident knowledge graph for intelligent accident analysis and management,

Reference 22

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Observation 8656f70a-3067-4087-9123-d6a1f621f0b4 · outbound

This paper cites Korea maritime safety tribunal (kmst) website,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Korea maritime safety tribunal (kmst) website,

Reference 23

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Observation d669ff64-3dcb-4571-9006-8d182f23f467 · outbound

This paper cites Dependence maps, a dimensionality reduction with dependence distance for high-dimensional data,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Dependence maps, a dimensionality reduction with dependence distance for high-dimensional data,

Reference 24

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Observation 5356a6df-5bd6-4f86-a3b4-5934dc0c1d7a · outbound

This paper cites Statistics of marine accidents,.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Statistics of marine accidents,

Reference 25

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Observation 6c5c897d-e932-42a9-b3ed-cbb80938de0f · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 26

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Observation 49038e8c-67bd-458d-b75a-fdc7f6a564db · outbound

This paper cites Yoon and H.

Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis Yoon and H

Reference 27

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arxiv_id, observed 2026-07-03T14:58:32.638080Z

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