Paper Citation Record · LEDGER

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study

As of 15 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 2 inbound Pith citation observations for arXiv:2501.18158.

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

pith.paper-citation-record.v1
2501.18158 v3

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

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Reference resolution

52 of 52 outbound references displayed

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External citation measurements

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Outbound references

Observation 4401e68d-b919-4c73-a663-172281b0254d · outbound

This paper cites A survey on evaluation of large language models.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study A survey on evaluation of large language models

Reference 1

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Observation b152342a-3abb-4ace-983f-c74477d8d7c4 · outbound

This paper cites Recent advances in natural language processing via large pre- trained language models: A survey.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Recent advances in natural language processing via large pre- trained language models: A survey

Reference 2

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This paper cites Fine-tuning large neural language models for biomedical natural language processing.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Fine-tuning large neural language models for biomedical natural language processing

Reference 3

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Observation a30bb1b2-0b3d-4785-8b6e-c46170e8bfb9 · outbound

This paper cites Visionllm: Large language model is also an open-ended decoder for vision-centric tasks.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Visionllm: Large language model is also an open-ended decoder for vision-centric tasks

Reference 4

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Observation 329bfe3d-41d8-4d55-942b-d262bdd8380b · outbound

This paper cites MiniGPT-4: Enhancing vision-language understanding with advanced large language models.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study MiniGPT-4: Enhancing vision-language understanding with advanced large language models

Reference 5

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Observation e4abfd5b-e12e-4f0e-8e42-8c01c93b190f · outbound

This paper cites Large language models for code: Security hardening and adversarial testing.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Large language models for code: Security hardening and adversarial testing

Reference 6

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Observation 5334352b-a211-4782-ab60-2f1e02451757 · outbound

This paper cites Lost at C: A user study on the security implications of large language model code assistants.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Lost at C: A user study on the security implications of large language model code assistants

Reference 7

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Observation 40069ba0-0be8-4009-b396-cd55d528be29 · outbound

This paper cites Large language models encode clinical knowledge.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Large language models encode clinical knowledge

Reference 8

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Observation 8e84a62a-91f7-49c2-86d5-4c0efcc7d1ec · outbound

This paper cites GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking

Reference 9

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Observation e6b7572a-5745-44a4-8983-34f8f40a3d16 · outbound

This paper cites Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data

Reference 10

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Observation ff8926e7-ba66-4215-9b65-bf7e35f217ac · outbound

This paper cites Can language models solve graph problems in natural language? In Advances in Neural Information Processing Systems (NeurIPS), volume 36, pages 30840–30861, 2023.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Can language models solve graph problems in natural language? In Advances in Neural Information Processing Systems (NeurIPS), volume 36, pages 30840–30861, 2023

Reference 11

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Observation 59ea7f8b-120f-4804-92d1-9a70201a7197 · outbound

This paper cites LLM4DyG: Can large language models solve spatial- temporal problems on dynamic graphs? In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) , page 4350–4361, 2024.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study LLM4DyG: Can large language models solve spatial- temporal problems on dynamic graphs? In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) , page 4350–4361, 2024

Reference 12

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Observation 9044d4f4-1d6a-4b6a-954c-b196811f2a9e · outbound

This paper cites BABD: A Bitcoin address behavior dataset for pattern analysis.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study BABD: A Bitcoin address behavior dataset for pattern analysis

Reference 13

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Observation cffc8535-1b10-4407-a0fd-f019710015c1 · outbound

This paper cites Cryptocurrency in the aftermath: Unveiling the impact of the SVB collapse.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Cryptocurrency in the aftermath: Unveiling the impact of the SVB collapse

Reference 14

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Observation dd3aef6e-f97e-463b-b74a-bc823c748d01 · outbound

This paper cites Miracle or mirage? a measurement study of NFT rug pulls.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Miracle or mirage? a measurement study of NFT rug pulls

Reference 15

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Observation 57ac7ca7-4fb3-4b36-bd25-3faa443a8a8f · outbound

This paper cites An Empirical Study on Snapshot DAOs.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study An Empirical Study on Snapshot DAOs

Reference 16

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This paper cites Understanding Ethereum via graph analysis.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Understanding Ethereum via graph analysis

Reference 17

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Observation b5687b05-4608-4845-ac62-b3796f340d96 · outbound

This paper cites Tracking counterfeit cryptocurrency end-to-end.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Tracking counterfeit cryptocurrency end-to-end

Reference 18

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Observation b6b0e6fd-9dd3-4fee-9660-5d7eabd1c08c · outbound

This paper cites An empirical analysis of pool hopping behavior in the Bitcoin blockchain.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study An empirical analysis of pool hopping behavior in the Bitcoin blockchain

Reference 19

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This paper cites A study on nine years of Bitcoin transactions: Understanding real-world behaviors of bitcoin miners and users.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study A study on nine years of Bitcoin transactions: Understanding real-world behaviors of bitcoin miners and users

Reference 20

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Observation 62944965-e55e-4b65-b94d-913dcc0ff5aa · outbound

This paper cites Double and nothing: Understanding and detecting cryptocurrency giveaway scams.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Double and nothing: Understanding and detecting cryptocurrency giveaway scams

Reference 21

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Observation e39d5b38-ab4b-4008-9aa1-df9aa5867f78 · outbound

This paper cites TxPhishScope: Towards detecting and understanding transaction-based phishing on Ethereum.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study TxPhishScope: Towards detecting and understanding transaction-based phishing on Ethereum

Reference 22

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Observation 8036e110-38e7-4fd0-9489-73b742df4bc3 · outbound

This paper cites Watch your back: Identifying cybercrime financial relationships in Bitcoin through back-and-forth exploration.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Watch your back: Identifying cybercrime financial relationships in Bitcoin through back-and-forth exploration

Reference 23

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Observation 8a0f63b8-b246-4118-b62a-eb4e24f19aad · outbound

This paper cites Toward understanding asset flows in crypto money laundering through the lenses of ethereum heists.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Toward understanding asset flows in crypto money laundering through the lenses of ethereum heists

Reference 24

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This paper cites Do cryptocurrency exchanges fake trading volumes? an empirical analysis of wash trading based on data mining.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Do cryptocurrency exchanges fake trading volumes? an empirical analysis of wash trading based on data mining

Reference 25

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This paper cites Dissecting Bitcoin blockchain: Empirical analysis of Bitcoin network (2009–2020).

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Dissecting Bitcoin blockchain: Empirical analysis of Bitcoin network (2009–2020)

Reference 26

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This paper cites Cryptocurrencies activity as a complex network: Analysis of transactions graphs.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Cryptocurrencies activity as a complex network: Analysis of transactions graphs

Reference 27

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This paper cites Complex network analysis of the Bitcoin transaction network.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Complex network analysis of the Bitcoin transaction network

Reference 28

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Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Graph structure and statistical properties of Ethereum transaction relationships

Reference 29

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Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study DenseFlow: Spotting cryptocurrency money laundering in Ethereum transaction graphs

Reference 30

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This paper cites To- wards malicious address identification in Bitcoin.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study To- wards malicious address identification in Bitcoin

Reference 31

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This paper cites Mixers detection in Bitcoin network: a step towards detecting money laundering 13 in crypto-currencies.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Mixers detection in Bitcoin network: a step towards detecting money laundering 13 in crypto-currencies

Reference 32

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Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Improving cryptocurrency crime detection: Coinjoin community detec- tion approach

Reference 33

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Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics

Reference 34

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Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Leveraging subgraph structure for exploration and analysis of Bitcoin address

Reference 35

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Observation 41fedaf1-f1b2-42d0-9bec-930925c3bdf0 · outbound

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Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Blockchain Large Language Models

Reference 36

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Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study A survey of graph meets large language model: Progress and future directions

Reference 37

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Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Predicting nft classification with GNN: A recommender system for web3 assets

Reference 38

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Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Grapharena: Evaluating and exploring large language models on graph computation

Reference 39

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Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Table meets LLM: Can large language models understand structured table data? a benchmark and empirical study

Reference 40

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Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study StructGPT: A general framework for large language model to reason over structured data

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:31:53.150776Z

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This paper cites Which modality should I use - text, motif, or image? : Understanding graphs with large language models.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Which modality should I use - text, motif, or image? : Understanding graphs with large language models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:31:53.136379Z

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Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Exploring the potential of large language models (LLMs) in learning on graphs

Reference 43

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Observation d0154ad8-68e2-436d-834f-d200a71b6e7e · outbound

This paper cites Label-free node classification on graphs with large language models (LLMs).

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Label-free node classification on graphs with large language models (LLMs)

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:31:53.106623Z

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This paper cites Head-to-tail: How knowledgeable are large language models (LLMs)? a.k.a.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Head-to-tail: How knowledgeable are large language models (LLMs)? a.k.a

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:31:53.091090Z

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Observation c91a23fb-8928-45b9-a274-b03cdf1f0ada · outbound

This paper cites GPT-4 Technical Report.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study GPT-4 Technical Report

Reference 46

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Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Large language models on graphs: A comprehensive survey

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:31:53.074545Z

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Observation 79e40494-8b9e-40a8-b53b-d211cd7af571 · outbound

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Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Graph summarization with controlled utility loss

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:31:53.057545Z

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Observation 60d15cd2-f7fc-4bc8-8625-7a2c053681e1 · outbound

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Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Personalized graph summarization: formulation, scalable algorithms, and applications

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:31:53.040465Z

Source-reported events for the cited work

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Observation 7368c3ad-bdba-4a63-b8e3-0f35a71c74b4 · outbound

This paper cites Ssumm: Sparse summarization of massive graphs.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Ssumm: Sparse summarization of massive graphs

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:31:53.023736Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1ff76951-43ca-4ee8-90f0-96d1c4a1e7be · outbound

This paper cites An optimized lossless graph summarization for large-scale graphs.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study An optimized lossless graph summarization for large-scale graphs

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:31:53.008067Z

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Observation 745ed3ca-0861-462c-bb0b-af49e7dca964 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Chain-of-thought prompting elicits reasoning in large language models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:31:52.991402Z

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Pith citing papers

Observation b2ab968e-cbc6-4faa-b48f-a9643c4d1359 · inbound

Talking Transactions: Decentralized Communication through Ethereum Input Data Messages (IDMs) cites this paper.

Talking Transactions: Decentralized Communication through Ethereum Input Data Messages (IDMs) Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:20:10.474294Z

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Observation dfd43d18-b854-4264-a12b-bc06ea4326da · inbound

SoK: Blockchain Agent-to-Agent Payments cites this paper.

SoK: Blockchain Agent-to-Agent Payments Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:38:02.427962Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.