Pith. sign in

Paper Citation Record · LEDGER

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel

As of 11 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2501.07145.

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

pith.paper-citation-record.v1
2501.07145 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:55:05.600572Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T18:43:44.341967Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:54:01.717360Z

Reference resolution

38 of 38 outbound references displayed

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  • verified fuzzy28
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 759a2a93-b8d0-4c78-983e-6b53b5007248 · outbound

This paper cites The UEA multivariate time series classification archive, 2018.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel The UEA multivariate time series classification archive, 2018

Reference 1

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Source-reported events for the cited work

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Observation 64bf11ee-1294-41a2-b9b2-e78742ed1295 · outbound

This paper cites Random projection in dimensionality reduction: applications to image and text data.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Random projection in dimensionality reduction: applications to image and text data

Reference 2

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Source-reported events for the cited work

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Observation f8a92a59-629f-4a3c-9f99-a3c42ad34bad · outbound

This paper cites Orlicz random fourier features.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Orlicz random fourier features

Reference 3

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Observation f82bf9e5-3ef9-4721-b2ac-a3241000be72 · outbound

This paper cites Finding frequent items in data streams.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Finding frequent items in data streams

Reference 4

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Source-reported events for the cited work

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Observation 9417838c-7d49-4ea3-8db0-edf4fbaf8310 · outbound

This paper cites Signature Moments to Characterize Laws of Stochastic Processes.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Signature Moments to Characterize Laws of Stochastic Processes

Reference 5

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Source-reported events for the cited work

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Observation fc7d613a-1fdb-4a66-a028-4fa93afd472f · outbound

This paper cites Experiments with Random Projection.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Experiments with Random Projection

Reference 6

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Observation 20fed646-8f6e-4cef-912a-e2cbcdaac4b6 · outbound

This paper cites Kernel k-means: spectral clustering and normalized cuts.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Kernel k-means: spectral clustering and normalized cuts

Reference 7

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Source-reported events for the cited work

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Observation 5c6b1f2b-a139-43fe-9b42-d08ac9cf1b1e · outbound

This paper cites Time-warping invariants of multidimensional time series.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Time-warping invariants of multidimensional time series

Reference 8

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Source-reported events for the cited work

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Observation a589b0c5-abd0-4626-9d85-08fc1c1318b7 · outbound

This paper cites Generalized iterated-sums signatures.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Generalized iterated-sums signatures

Reference 9

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Observation 74587949-f13e-4be5-a9b7-e24d668332b9 · outbound

This paper cites On the Nystr ¨om method for approximating a gram matrix for improved kernel-based learning.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel On the Nystr ¨om method for approximating a gram matrix for improved kernel-based learning

Reference 10

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Source-reported events for the cited work

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Observation dab1c0d4-8803-4b19-aa10-8f02c221d20b · outbound

This paper cites Improving the gaussian process sparse spectrum approximation by representing uncer- tainty in frequency inputs.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Improving the gaussian process sparse spectrum approximation by representing uncer- tainty in frequency inputs

Reference 11

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Observation c3c1c5f8-1f2a-47a8-bdf6-ed820c624281 · outbound

This paper cites Large sample analysis of the median heuristic.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Large sample analysis of the median heuristic

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ef3daf17-b7b6-447d-acaf-de6d28c0df91 · outbound

This paper cites Borgwardt, Malte J.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Borgwardt, Malte J

Reference 13

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Observation 49c8a51c-247c-4185-bb03-465f3dc44ab3 · outbound

This paper cites Kiraly and Harald Oberhauser.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Kiraly and Harald Oberhauser

Reference 14

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Observation c16b6348-670a-41fd-9370-aeea74100517 · outbound

This paper cites Numba: A llvm-based python jit compiler.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Numba: A llvm-based python jit compiler

Reference 15

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Observation 6f1c9409-3da9-4842-ae06-b53df3a1127f · outbound

This paper cites The Signature Kernel.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel The Signature Kernel

Reference 16

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Source-reported events for the cited work

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Observation bd5219a1-a688-40f0-aceb-044762a87ec7 · outbound

This paper cites Very sparse random projections.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Very sparse random projections

Reference 17

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Observation d28ca68c-4fb0-4189-b1d7-aae59e47735c · outbound

This paper cites Differential equations driven by rough paths.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Differential equations driven by rough paths

Reference 18

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Observation db2e0daa-d855-496f-8679-91b219ee61d9 · outbound

This paper cites A Generalised Signature Method for Multivariate Time Series Feature Extraction.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel A Generalised Signature Method for Multivariate Time Series Feature Extraction

Reference 19

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Observation 604bd5f5-9c21-46b5-b0bd-28425197ffdc · outbound

This paper cites Cupy: A numpy-compatible library for nvidia gpu calculations.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Cupy: A numpy-compatible library for nvidia gpu calculations

Reference 20

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Observation 3c7bcec9-b3e9-46b1-a98f-ac37ae63a11b · outbound

This paper cites Scikit-learn: Machine learning in python.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Scikit-learn: Machine learning in python

Reference 21

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This paper cites Fast and scalable polynomial kernels via explicit feature maps.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Fast and scalable polynomial kernels via explicit feature maps

Reference 22

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This paper cites Weighted sums of random kitchen sinks: Replacing minimization with randomization in learning.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Weighted sums of random kitchen sinks: Replacing minimization with randomization in learning

Reference 23

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This paper cites Tensorized random projections.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Tensorized random projections

Reference 24

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Source-reported events for the cited work

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This paper cites Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence

Reference 25

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This paper cites The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances

Reference 26

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This paper cites The Signature Kernel Is the Solution of a Goursat PDE.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel The Signature Kernel Is the Solution of a Goursat PDE

Reference 27

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This paper cites Optimal rates for random fourier features.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Optimal rates for random fourier features

Reference 28

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Observation b311f957-da1f-4f25-b787-88e3f48b8dbe · outbound

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A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Support Vector Machines

Reference 29

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This paper cites Tensor Random Projection for Low Memory Dimension Reduction.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Tensor Random Projection for Low Memory Dimension Reduction

Reference 30

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Unavailable: canonical work link unavailable.

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A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel On kernel derivative approximation with random fourier features

Reference 31

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This paper cites Tslearn, a machine learning toolkit for time series data.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Tslearn, a machine learning toolkit for time series data

Reference 32

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation d5c1d2b0-1699-4d67-8120-c63bdd982fbd · outbound

This paper cites Seq2Tens: An efficient representation of sequences by low-rank tensor projections.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Seq2Tens: An efficient representation of sequences by low-rank tensor projections

Reference 33

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Source-reported events for the cited work

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Observation ac0ae23a-ce37-44ef-951e-10ac44dee93c · outbound

This paper cites Capturing graphs with hypo-elliptic diffusions.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Capturing graphs with hypo-elliptic diffusions

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 59d9016f-b011-4f76-8f15-5023907573c7 · outbound

This paper cites Random Fourier Signature Features.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Random Fourier Signature Features

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:55:05.687670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:55:05.583895Z digest=sha256:fa34522111e21c2020862c31e30b79cdef6a75c3347c02ad01d754953e9ee0f1

Observation cba08e41-e77a-412d-a39a-143c752ca324 · outbound

This paper cites Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes

Reference 36

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T20:55:05.658889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:55:05.589488Z digest=sha256:88bd4b78a55a02cefa9293a4902813dd3cf5995f76bfeb239fa9be8713180926

Observation f219525f-4e5e-4d3f-9fbb-02620cf86a79 · outbound

This paper cites static” vector of shape𝐿𝑑 . 1 class Kernel (BaseEstimator, metaclass=ABCMeta): 2.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel static” vector of shape𝐿𝑑 . 1 class Kernel (BaseEstimator, metaclass=ABCMeta): 2

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:05.843333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:55:05.594727Z digest=sha256:630efba5b9603cfd88104bc35f0d9a948aeb8de39e6dbac84fad848d9d5840b3

Observation e09926b8-03b4-4622-8264-6c8e26a10345 · outbound

This paper cites ""Class for computing the tensor sketch. 3 ... 4.

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel ""Class for computing the tensor sketch. 3 ... 4

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:05.828262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:55:05.600572Z digest=sha256:d61eaaeaa914c7432d80eb1dc0abd7db24551b0d6b548d7e0538313a88735e99

Pith citing papers

Observation f0a44043-cc63-4782-9765-15e493adef3c · inbound

Branched Signature Kernel Solvers for ODEs with rough Single-Trajectory signals cites this paper.

Branched Signature Kernel Solvers for ODEs with rough Single-Trajectory signals A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:54:01.718555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-29T20:30:38.552769Z digest=sha256:582a03f756c5392929e6b56333a54be5b63c4af4aab12f65f67cbfd85beeda35

Observation d9d26a47-769b-476a-9e62-b5088e840717 · inbound

Branched Signature Kernel Solvers for ODEs with rough Single-Trajectory signals cites this paper.

Branched Signature Kernel Solvers for ODEs with rough Single-Trajectory signals A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel

Reference 62

Resolution
unresolved
no resolver link, observed 2026-07-14T18:43:44.341967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T18:43:44.341967Z digest=sha256:3e8521010df36f9aefec33f0cce0138e51568055e07a925598da21a367dd36f7