Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:40:18.601835Z
Paper Citation Record · LEDGER
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction
As of 18 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2501.01010.
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 2026-08-18T06:34:40.430872+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
29 of 29 outbound references displayed
- verified exact1
- verified fuzzy18
- unresolved10
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 784de841-88d7-4e42-a0c6-c3b8b13c173c · outbound
This paper cites Bitcoin: A peer-to-peer electronic cash system.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Bitcoin: A peer-to-peer electronic cash system
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:40:19.111990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 48fd9e56-5aa3-4c52-a1c6-19160c46ee6a · outbound
This paper cites An empirical study on modeling and prediction of bitcoin prices with bayesian neural networks based on blockchain information.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction An empirical study on modeling and prediction of bitcoin prices with bayesian neural networks based on blockchain information
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:40:19.094699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ffad7126-9906-4bb8-84d9-0ae8da8e0880 · outbound
This paper cites Twitter sentiment analysis for bitcoin price prediction.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Twitter sentiment analysis for bitcoin price prediction
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:40:19.076462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 50958767-cbf5-4a8d-b479-4bad10040ac2 · outbound
This paper cites What can explain the price, volatility and trading volume of bitcoin? Finance Research Letters, 29:255–265, 2019.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction What can explain the price, volatility and trading volume of bitcoin? Finance Research Letters, 29:255–265, 2019
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:40:19.059374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c2b51b9f-fdd0-46c9-aa95-935ae4e6939a · outbound
This paper cites Bitcoin meets google trends and wikipedia: Quantifying the relationship between phenom- ena of the internet era.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Bitcoin meets google trends and wikipedia: Quantifying the relationship between phenom- ena of the internet era
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:40:19.041186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 587761b7-cdbb-4a17-9188-128dd0a87c65 · outbound
This paper cites Time series analysis: forecasting and control.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Time series analysis: forecasting and control
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:40:18.479654Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb1c8664-85c7-4918-b306-4803db3ba807 · outbound
This paper cites Generalized autoregressive conditional heteroskedasticity.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Generalized autoregressive conditional heteroskedasticity
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:40:19.010337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 51ad8e09-8fe8-4fd5-a051-c4097c29528f · outbound
This paper cites Long short-term memory.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Long short-term memory
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:40:18.490558Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a404af7-1bfa-4580-a4b0-401d3df213d3 · outbound
This paper cites Attention is all you need.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Attention is all you need
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:40:18.495631Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d216e6fb-fb25-42b3-b787-d3e8351d0f0d · outbound
This paper cites Combining recur- rent, convolutional, and continuous-time models with linear state space layers.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Combining recur- rent, convolutional, and continuous-time models with linear state space layers
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:40:18.970725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ec57bc64-637e-4358-a14d-0566b60ba01c · outbound
This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Efficiently Modeling Long Sequences with Structured State Spaces
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:40:18.505696Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f7c1e9f-5980-45a5-af9a-204a2119d74a · outbound
This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:40:18.511360Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d4d9337-3d53-4d63-941a-1beb0f12aebb · outbound
This paper cites Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:40:18.516889Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3881d4a-5562-4d70-9a84-c34f33ed56ba · outbound
This paper cites Serpent: Scalable and Efficient Image Restoration via Multi-scale Structured State Space Models.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Serpent: Scalable and Efficient Image Restoration via Multi-scale Structured State Space Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:40:18.521895Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01f869be-c9b2-4278-ada8-11a17f0d5fe1 · outbound
This paper cites Short term prediction on bitcoin price using arima method.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Short term prediction on bitcoin price using arima method
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:40:18.940212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e41378bb-7737-45f7-869b-2005712a5179 · outbound
This paper cites Bitcoin price forecasting using arima model.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Bitcoin price forecasting using arima model
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:40:18.923047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 44a8c7cd-da50-4b3e-b927-857f0ea42d45 · outbound
This paper cites Cryp- tocurrency price prediction using time series forecasting (arima).
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Cryp- tocurrency price prediction using time series forecasting (arima)
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:40:18.905464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0f295a6a-fee9-462b-a592-d6bc32e4c1a4 · outbound
This paper cites V olatility estimation for bitcoin: A comparison of garch models.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction V olatility estimation for bitcoin: A comparison of garch models
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:40:18.887953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c4b263e1-55a0-4af9-bd46-d6ce10668c6d · outbound
This paper cites Garch modelling of cryptocurrencies.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Garch modelling of cryptocurrencies
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:40:18.870630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c5eb344e-5a27-4f8b-9656-4cf3d0159c73 · outbound
This paper cites N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:40:18.553578Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4175ce2-63e7-4e31-9c6a-7d042529412c · outbound
This paper cites Temporal fusion transformers for interpretable multi-horizon time series forecasting.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Temporal fusion transformers for interpretable multi-horizon time series forecasting
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:40:18.559084Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3370edc1-da5f-4f7b-b916-0737da356153 · outbound
This paper cites Anticipating cryptocurrency prices using machine learning.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Anticipating cryptocurrency prices using machine learning
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:40:18.842230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c4ab65e0-a5df-41c9-815a-907035b20a6e · outbound
This paper cites Forecasting cryptocurrency prices using lstm, gru, and bi-directional lstm: a deep learning approach.Fractal and Fractional, 7(2):203, 2023.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Forecasting cryptocurrency prices using lstm, gru, and bi-directional lstm: a deep learning approach.Fractal and Fractional, 7(2):203, 2023
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:40:18.824458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 78186dfb-6b79-4a55-9a26-0c7dc40c11c0 · outbound
This paper cites itransformer: Inverted transformers are effective for time series forecasting.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction itransformer: Inverted transformers are effective for time series forecasting
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:40:18.807225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c59d561e-fb3c-469d-b2c4-d877257b7039 · outbound
This paper cites Forecasting the movements of Bitcoin prices: an application of machine learning algorithms.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Forecasting the movements of Bitcoin prices: an application of machine learning algorithms
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T22:40:18.649933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 16d0b20a-025d-4d25-8494-b0267b812b79 · outbound
This paper cites Trading bitcoin and online time series prediction.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Trading bitcoin and online time series prediction
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:40:18.789181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 25b4d8ef-8c4c-41d1-b92e-bbf9b8cbfb0d · outbound
This paper cites Is mamba effective for time series forecasting? Neurocomputing, 619:129178, 2025.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Is mamba effective for time series forecasting? Neurocomputing, 619:129178, 2025
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:40:18.591192Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f530fc51-e945-4abc-8319-eff917d6166d · outbound
This paper cites A new approach to linear filtering and prediction problems.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction A new approach to linear filtering and prediction problems
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:40:18.761122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 660e3861-43d3-4373-9570-066c8ac187e7 · outbound
This paper cites Kingma and Jimmy Ba.
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction Kingma and Jimmy Ba
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:40:18.743421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.