Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T16:19:09.434747Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2605.18770.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T16:19:09.434747Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T05:10:29.246022Z
A source-named dated measurement, never combined with another source.
Source: cited_works
51 of 51 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 09d58131-e46f-411c-a5b1-6febb5490f8e · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
Reference 1
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Observation b7d6b15b-732e-485e-a4cd-f39f5479efef · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis From llm reasoning to autonomous ai agents: A comprehensive review, 2026
Reference 2
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Observation 21b531f8-f207-48bb-92d8-6fb08ffeeb53 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Structugraphrag: Structured document- informed knowledge graphs for retrieval-augmented generation.Proceedings of the AAAI Symposium Series, 4(1): 242–251, Nov
Reference 3
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Observation bc3c66f3-bc59-4943-a5b8-54713f4489a7 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis T-grag: A dynamic graphrag framework for resolving temporal conflicts and redundancy in knowledge retrieval
Reference 4
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Observation a073cbc0-c25f-44ea-ab67-a63e18ff1b1f · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Open data and transparency: Opportunities and challenges in the swiss context.Public Performance & Management Review, 43(3):662–686, 2020
Reference 5
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Observation ec3e7c6f-ab45-4196-bdc8-cd32d32e81f1 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Financial risk management and explainable, trustworthy, responsible ai.Frontiers in Artificial Intelligence, V olume 5 - 2022, 2022
Reference 6
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Observation dd26fed8-604d-4d5d-be30-1fdd50f4b180 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis The role of explainable ai in enhancing trust and decision-making in financial services.Journal of Applied Finance & Banking, 15(5):49–62, 2025
Reference 7
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Observation 8658cc5f-c674-48e5-a78f-2451084f87be · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Judging llm-as-a-judge with mt-bench and chatbot arena
Reference 8
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Observation df1b008e-3663-4565-a196-3bfc76b9e7c9 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis A survey on llm-as-a-judge.The Innovation, page 101253, 2026
Reference 9
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Observation 93759960-3881-4b0a-b803-413c3924af13 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Effective automatic feature engineering on financial statements for bankruptcy prediction
Reference 10
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Observation 8cbf62d9-de6e-4b07-a977-f42f5be12aaa · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Data mining techniques for the detection of fraudulent financial statements.Expert Systems with Applications, 32(4):995–1003, 2007
Reference 11
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Observation 352b26a7-12a6-4aac-87bb-6aeb746a88ee · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis.Expert Systems with Applications, 13(2):97–108, 1997
Reference 12
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Observation 8709132e-3db0-46c4-ada9-8b42a978e193 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Feature-weighted counterfactual-based explanation for bankruptcy prediction
Reference 13
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Observation 7e7f36ba-0bcd-4f82-8558-9569a8a36cd9 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Unresolved cited work
Reference 14
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Observation 2ed29e1f-aa3a-480b-988c-f6b2fb209085 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Retrieval-augmented generation for knowledge-intensive nlp tasks
Reference 15
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Observation 3962222b-0da3-4490-ad54-efaf9f64bc3e · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Evaluating retrieval-augmented generation models for financial report question and answering.Applied Sciences, 14(20), 2024
Reference 16
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Observation 54e989f1-4520-4761-baeb-3b3e1e2c53d8 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Finsage: A multi-aspect rag system for financial filings question answering
Reference 17
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Observation 618e056e-6d2a-41fd-be7c-f4fedac84285 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Hierfinrag—hierarchical multimodal rag for financial document understanding.Informatics, 13(2), 2026
Reference 18
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Observation 4b0cf1be-45a6-4ef3-b21c-734c17099e7e · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Mengshoel, and Xindong Wu
Reference 20
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Observation 60591f69-53c3-4621-8504-a7f03db9182e · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Knowledge graph-based event embedding framework for financial quantitative investments
Reference 21
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Observation 8cd4695a-0ef8-4cf3-a65c-afbfb893c548 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
Reference 22
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Observation 46ce014a-084d-4b5f-81d3-d3f89614b0ea · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Flowseries: flow analysis on financial networks.Applied Network Science, 10(1):28, 2025
Reference 23
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Observation 59a57acd-c55f-49e7-b471-32674e452fcb · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Exploiting graph metrics to detect anomalies in cross-country money transfer temporal networks
Reference 24
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Observation 236f8d06-fbcb-484a-94c2-d903e1854124 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Weirdnodes: centrality based anomaly detection on temporal networks for the anti-financial crime domain.Applied Network Science, 10(1):14, 2025
Reference 25
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Observation f4f70b53-4e1e-4d41-b873-40cdd27219bc · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Temporal relational ranking for stock prediction.ACM Trans
Reference 26
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Observation 072a6016-a491-4611-b813-91955c7192e6 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Beyond the tax haven: a graph analysis of business attraction in swiss municipalities.EPJ Data Science, 15, 2026
Reference 27
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Observation e54efa9a-207c-4379-a9cc-603d0e922e2f · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Modeling momentum spillover with economic links discovered from financial documents
Reference 28
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Observation 157785dd-1f50-40fb-88a0-77f5916d6fd9 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis In-depth analysis of graph-based rag in a unified framework.Proc
Reference 29
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Observation 70561839-600b-474d-8f5c-8a08e82216e5 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis From local to global: A graph rag approach to query-focused summarization
Reference 30
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Observation 9fab8d1c-fede-411c-bce7-1d7abc8f0236 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis GRAG: Graph retrieval-augmented generation
Reference 31
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Observation 1142b9a8-06ff-429b-a5c0-7bf532f82c45 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Agentai: A comprehensive survey on autonomous agents in distributed ai for industry 4.0.Expert Systems with Applications, 291:128404, 2025
Reference 32
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Observation a4a19936-81a2-4e94-a082-102a37a45ccd · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis A review of agentic artificial intelligence: Power of self-driven ai in the future of financial autonomy and enhanced customer engagement
Reference 33
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Observation ef8b034d-851f-4888-956c-8afeb187502c · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis The rise of agentic ai in finance: Opportunities, risks, and human-centric integration.IT Professional, 27(4):19–24, 2025
Reference 34
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Observation b3fbeb26-5e0f-4ec4-81d7-939a465dd7c7 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Elgendy, Mohamed Y .I
Reference 35
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Observation 40e02b58-b54e-4159-b6d7-4a7d9d3f2080 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Ai agents in finance and fintech: A scientific review of agent-based systems, applications, and future horizons.Computers, Materials and Continua, 86(1):1–34, 2025
Reference 36
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Observation 2ece8ab1-045d-4cfc-90a4-bf54724a0201 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Enhancing investment analysis: Optimizing ai-agent collaboration in financial research
Reference 37
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Observation c5caaede-2c99-4134-9844-244d85ada22d · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Self-RAG: Learning to retrieve, gen- erate, and critique through self-reflection
Reference 38
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Observation f767067f-48a5-4969-850b-8267753fae9a · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis RAG-critic: Leveraging automated critic-guided agentic workflow for retrieval augmented generation
Reference 39
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Observation a63dd0ca-1781-4298-8f81-91ee7e247e54 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Vincent Poor
Reference 40
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Observation 43449303-6ef0-4d44-86a5-9945edf63fd0 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Hm-rag: Hierarchical multi-agent multimodal retrieval augmented generation
Reference 41
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Observation af806414-c93e-4d0e-9db7-115482bb9bbb · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Ka-rag: Integrating knowledge graphs and agentic retrieval- augmented generation for an intelligent educational question-answering model.Applied Sciences, 15(23), 2025
Reference 42
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Observation 62b8ef1f-2f89-4dba-a1d9-deb4ba335760 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Keying hash functions for message authentication
Reference 43
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Observation 012249fe-bae3-4ea3-a117-7cac89c238f8 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Cypher: An evolving query language for property graphs
Reference 44
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Observation 6806ef94-3da0-441e-9ada-6e9926017d94 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis React: Synergizing reasoning and acting in language models
Reference 45
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Observation a1410b63-2cda-4238-8140-09180949d5f4 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Where llm agents fail and how they can learn from failures.arXiv preprint arXiv:2509.25370, 2025
Reference 46
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Observation 14b2ae28-8dcc-41cb-bbdf-54dbca549505 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Unresolved cited work
Reference 47
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Observation ee7862d5-2c53-4b1d-9cea-9d85bfa72153 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis QuAC: Question answering in context
Reference 48
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Observation b09edb54-e196-46c1-bb43-c601cf9e006f · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers
Reference 49
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Observation 60a7eeb1-bac4-44d9-9a1e-bfa2de235c17 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis RAGAs: Automated evaluation of retrieval augmented generation
Reference 50
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Observation dd00852d-6ff2-4db4-bc1c-b88c93165ae9 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis 26 Agentic GraphRAG
Reference 2018
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Observation f59f2ca4-39de-4eb3-a455-a33f5285e1a7 · outbound
Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis ISBN 979-8-89176-251-0
Reference 2025
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Observation 50f52b0d-b059-43f0-937d-166779f610e1 · inbound
Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis
Reference 32
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