Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:16:34.746085Z
Paper Citation Record · LEDGER
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling
As of 7 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2507.08915.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
42 of 42 outbound references displayed
- verified exact13
- verified fuzzy14
- unresolved6
- parse uncertain0
- malformed identifier7
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 83c21aaf-6a42-4385-8424-1b5f4b4b0691 · outbound
This paper cites Tail r isk measurement in crypto-asset markets.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Tail r isk measurement in crypto-asset markets
Reference 1
- Resolution
- verified exact
- doi, observed 2026-08-06T18:16:37.494171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 07bc20a7-0ef9-4fff-bbce-493ad59a9ad1 · outbound
This paper cites Developing a stress testing frame- work based on market risk models.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Developing a stress testing frame- work based on market risk models
Reference 2
- Resolution
- malformed identifier
- doi_truncated, observed 2026-08-06T18:16:37.228756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 54f27cb5-caf7-407b-b136-3808e7ab0a7b · outbound
This paper cites Game-based modeling of delayed r isk contagion in cryptocurrency exchanges.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Game-based modeling of delayed r isk contagion in cryptocurrency exchanges
Reference 3
- Resolution
- verified exact
- doi, observed 2026-08-06T18:16:36.962040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b965a235-9463-41c3-a76c-ea90d2dea484 · outbound
This paper cites A systematic literaturereview of volatility and risk management on cryptocurrency investment: A method- ological point of view.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling A systematic literaturereview of volatility and risk management on cryptocurrency investment: A method- ological point of view
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:16:42.199619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation dcb8b144-020c-4321-97a1-054fd71a4172 · outbound
This paper cites Modelling and forecasting the volatility of cryptocurrencies: A Springer Nature 2021 LATEX template 28 REFERENCES comparison of nonlinear garch-type models.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Modelling and forecasting the volatility of cryptocurrencies: A Springer Nature 2021 LATEX template 28 REFERENCES comparison of nonlinear garch-type models
Reference 5
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-06T18:16:42.052152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c3d807d7-730d-43ba-a1f1-6fd97c947b59 · outbound
This paper cites Review of blockchain technology vulnerabilit ies and blockchain-system attacks.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Review of blockchain technology vulnerabilit ies and blockchain-system attacks
Reference 7
- Resolution
- verified exact
- doi, observed 2026-08-06T18:16:36.738153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 01533020-901f-4950-8ce8-702d99c7d6d9 · outbound
This paper cites The inefficiency of bitcoin revisited: A dynamic approach.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling The inefficiency of bitcoin revisited: A dynamic approach
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:16:41.928477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 28b7a025-b648-4098-8917-27ef50e07330 · outbound
This paper cites The bitcoin gold correlation puzzle.Journal of Behavioral and Experimental Finance, 25:103–110, 2018.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling The bitcoin gold correlation puzzle.Journal of Behavioral and Experimental Finance, 25:103–110, 2018
Reference 9
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e6685ad-2804-466f-82f6-b0936e906d62 · outbound
This paper cites Oxford uni- versity press, 2019.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Oxford uni- versity press, 2019
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:16:31.958111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71c66f11-069a-4103-bdfb-b6f9127eb406 · outbound
This paper cites Vine copu la- based dependence and portfolio value-at-risk analysis of the cryp tocur- rency market.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Vine copu la- based dependence and portfolio value-at-risk analysis of the cryp tocur- rency market
Reference 11
- Resolution
- verified exact
- doi, observed 2026-08-06T18:16:36.489160Z
Source-reported events for the cited work
correction dated 2020-12-05. Source: crossref record 10.1016/j.inteco.2020.12.002->10.1016/j.inteco.2019.03.002:correction, observed 2026-07-11T03:17:05.423436+00:00. This notice travels one citation hop only.
correction dated 2023-08-24. Source: crossref record 10.1016/j.inteco.2023.08.006->10.1016/j.inteco.2019.03.002:correction, observed 2026-07-11T03:13:01.94632+00:00. This notice travels one citation hop only.
Observation b0d8b038-e7f8-41a4-a87f-9d8b2cc86991 · outbound
This paper cites Beyond risk parity–a machine learning-based hierarchi- cal risk parity approach on cryptocurrencies.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Beyond risk parity–a machine learning-based hierarchi- cal risk parity approach on cryptocurrencies
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:16:32.055603Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2530cefb-8b49-4ae6-9584-1fc5a98ba0e5 · outbound
This paper cites Risk measurement of cryptocurrencies usin g value at risk and expected shortfall.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Risk measurement of cryptocurrencies usin g value at risk and expected shortfall
Reference 13
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- verified exact
- raw_fallback, observed 2026-08-06T18:16:38.762076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 35393536-0d8b-4c85-92b3-2e083c5207c3 · outbound
This paper cites Systemic risk, contagion, and finan- cial networks: A survey.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Systemic risk, contagion, and finan- cial networks: A survey
Reference 14
- Resolution
- verified exact
- doi, observed 2026-08-06T18:16:36.271032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f76eba93-cc65-477d-b558-dc56b4bf0e48 · outbound
This paper cites An approach to predict and forecast the price of constituents and index of cryptocurrency using machine learning.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling An approach to predict and forecast the price of constituents and index of cryptocurrency using machine learning
Reference 15
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-06T18:16:32.317043Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a2c872d-6adb-49e3-91bc-f1d51a01e9ce · outbound
This paper cites Cryptocurrency market reactions to regulatory news.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Cryptocurrency market reactions to regulatory news
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:16:41.813009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation edb355a1-36c2-412f-a0f6-7e5ea4f590f4 · outbound
This paper cites Intelligent design: stablecoins (in) stability and collateral during mar ket turbulence.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Intelligent design: stablecoins (in) stability and collateral during mar ket turbulence
Reference 17
- Resolution
- verified exact
- doi, observed 2026-08-06T18:16:36.095406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 56dc7a29-25ea-48f2-a6b1-f8ae12537b3a · outbound
This paper cites Blockchain technology and crypto-assets market analysis: vulner abilities and risk assessment.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Blockchain technology and crypto-assets market analysis: vulner abilities and risk assessment
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:16:41.650965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 712c2f5f-93b8-451d-b01b-69a03a903c58 · outbound
This paper cites Sta- blecoin devaluation risk.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Sta- blecoin devaluation risk
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:16:41.535749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f6154435-0639-4d3a-bd14-fc8f8487a253 · outbound
This paper cites Defi risks and regulation.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Defi risks and regulation
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:16:41.387327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e1e7fe8f-8c22-4016-8289-e141cfc4a829 · outbound
This paper cites The global political economy of digital technology.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling The global political economy of digital technology
Reference 21
- Resolution
- verified exact
- raw_fallback, observed 2026-08-06T18:16:38.424742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e39bf14a-b3cb-43a7-b44e-99b4b0057403 · outbound
This paper cites Regulation of cryptocurrencies and blockchain technolo- gies.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Regulation of cryptocurrencies and blockchain technolo- gies
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:16:41.178620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1d3d15b8-5266-42f3-99d0-4b14768a4c9e · outbound
This paper cites Introduction to monte carlo simulation.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Introduction to monte carlo simulation
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:16:33.055434Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c38da52c-5285-4ee6-9f68-7fa882173f97 · outbound
This paper cites International business and decen- tralized finance.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling International business and decen- tralized finance
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:16:41.024332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 449732bf-7e63-46cc-b870-0be86132fdbe · outbound
This paper cites Is bitco in a safe haven for us equity market?–a comparison with gold and the do llar.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Is bitco in a safe haven for us equity market?–a comparison with gold and the do llar
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:16:40.775465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5cb707bd-7d78-4a0e-bd44-6f2461058b1f · outbound
This paper cites Contagion!: Systemic Risk in Financial Networks , volume 42.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Contagion!: Systemic Risk in Financial Networks , volume 42
Reference 26
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- verified fuzzy
- raw_fallback, observed 2026-08-06T18:16:40.508014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0cde5e61-e78e-43cc-8e55-d3e518bf38bb · outbound
This paper cites Modelling the social dynamics of contagion and discov- ery using dynamical processes on complex networks.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Modelling the social dynamics of contagion and discov- ery using dynamical processes on complex networks
Reference 27
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- unresolved
- no resolver link, observed 2026-08-06T18:16:33.647706Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8caf520-8cf0-44f2-a09e-1875e35724a4 · outbound
This paper cites Volatility co-movement between bitcoin a nd ether.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Volatility co-movement between bitcoin a nd ether
Reference 28
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-06T18:16:40.355092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f8f441d0-66b6-4776-87af-3bdeeceb4165 · outbound
This paper cites Algorithmic stablecoins: Mechanisms, risks, and le ssons from the fall of terrausd.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Algorithmic stablecoins: Mechanisms, risks, and le ssons from the fall of terrausd
Reference 29
- Resolution
- malformed identifier
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6228ed0-58e9-484f-87ba-75581d138d16 · outbound
This paper cites Second order approxi- mation for the customer time in queue distribution under the fifo ser vice discipline.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Second order approxi- mation for the customer time in queue distribution under the fifo ser vice discipline
Reference 30
- Resolution
- malformed identifier
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9f7b7c7b-d880-43ea-86ec-7b607b6cadd5 · outbound
This paper cites Common risk factors in cryp - tocurrency.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Common risk factors in cryp - tocurrency
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:16:40.211073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4f65758d-85f8-461e-b4a5-8be3f72c2c05 · outbound
This paper cites Bitcoin: A peer-to-peer electronic cash s ystem.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Bitcoin: A peer-to-peer electronic cash s ystem
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:16:39.946763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0b65e08d-7ada-4690-9c12-c862ceab11bf · outbound
This paper cites Critical appraisal of the basel fundamenta l review of the trading book regulations.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Critical appraisal of the basel fundamenta l review of the trading book regulations
Reference 33
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-06T18:16:39.715480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c788c8f0-fd67-4931-92f9-f159af44997d · outbound
This paper cites Crypto-native cre dit score: Between financial inclusion and predatory lending.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Crypto-native cre dit score: Between financial inclusion and predatory lending
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:16:39.481281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2df4cb0b-a756-4e8f-855d-777d5444daa6 · outbound
This paper cites Extreme Value Behavior in Cryptocurrency Market.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Extreme Value Behavior in Cryptocurrency Market
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:16:39.177253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 598fc5a9-01d4-4e8c-94d2-e2726f82c6a7 · outbound
This paper cites Markowitz revisited: Mean-variance models infinancial portfolio analysis.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Markowitz revisited: Mean-variance models infinancial portfolio analysis
Reference 36
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-06T18:16:38.025854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 29f9ed90-05a6-480a-84f4-58c9fec4387a · outbound
This paper cites Dynamic volatility modelling of bitcoin using time-varying transition probability markov-switching garch model.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Dynamic volatility modelling of bitcoin using time-varying transition probability markov-switching garch model
Reference 37
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-06T18:16:37.716656Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation be579a46-bf53-48db-ba70-72c96ae3c64a · outbound
This paper cites Value-at- risk and expected shortfall in cryptocurrencies’ portfolio: A vine copula–based approach.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Value-at- risk and expected shortfall in cryptocurrencies’ portfolio: A vine copula–based approach
Reference 38
- Resolution
- verified exact
- doi, observed 2026-08-06T18:16:35.073600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e7357d19-eaf2-4251-986c-5b09f36bafc6 · outbound
This paper cites On multivariate contribution measures of systemic risk with applications in cryptocurrency market.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling On multivariate contribution measures of systemic risk with applications in cryptocurrency market
Reference 39
- Resolution
- verified exact
- doi, observed 2026-08-06T18:16:34.916454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 630fa2ca-adde-40e2-9f6a-574456934569 · outbound
This paper cites an unresolved cited work.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Unresolved cited work
Reference 2018
- Resolution
- verified exact
- doi, observed 2026-08-06T18:16:35.672117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 09dbdfa1-3dcc-4255-91e0-4e8554bdc55c · outbound
This paper cites an unresolved cited work.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Unresolved cited work
Reference 2023
- Resolution
- verified exact
- doi, observed 2026-08-06T18:16:35.518131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a1605a46-5e7c-4dd7-8ccb-ca9e555b2f91 · outbound
This paper cites an unresolved cited work.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Unresolved cited work
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:16:33.230816Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fe41de4-74cc-41b0-be5a-4d05b734c18c · outbound
This paper cites an unresolved cited work.
Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling Unresolved cited work
Reference 2025
- Resolution
- verified exact
- doi, observed 2026-08-06T18:16:35.875705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Pith citing papers
No inbound Pith citation observations are available.