Paper Citation Record · LEDGER

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique

As of 9 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2506.01815.

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

pith.paper-citation-record.v1
2506.01815 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:40:57.810621Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy9
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 314989de-7f7b-40d2-81fc-007f52968bdb · outbound

This paper cites Iterated integrals and exponential homomorphisms.

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique Iterated integrals and exponential homomorphisms

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:59.183448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5f635f80-6155-47e1-ae54-c0687fbfb460 · outbound

This paper cites Integration of paths, geometric invariants and a generalized B aker- H ausdorff formula.

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique Integration of paths, geometric invariants and a generalized B aker- H ausdorff formula

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:59.082098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ae190807-0d59-48ca-a011-1b4afbe028c0 · outbound

This paper cites A primer on the signature method in machine learning, 2016.

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique A primer on the signature method in machine learning, 2016

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:53.228841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2a49a53-d8a4-4df9-8b0d-5e2ff2c60b8e · outbound

This paper cites Extracting information from the signature of a financial data stream.

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique Extracting information from the signature of a financial data stream

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:54.882794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1be0aaf2-de54-46e3-862c-07f0fe85e6ae · outbound

This paper cites Sparse arrays of signatures for online character recognition.

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique Sparse arrays of signatures for online character recognition

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:55.541956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32256e3c-e096-4afc-915b-51065094e364 · outbound

This paper cites Uniqueness for the signature of a path of bounded variation and the reduced path group.

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique Uniqueness for the signature of a path of bounded variation and the reduced path group

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:58.900228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5aa66459-8ed9-4743-bb5f-7c9704cb4a45 · outbound

This paper cites Krishnan, Adam Mullaney, Kathleen Shiffer, and Stephan Sturm.

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique Krishnan, Adam Mullaney, Kathleen Shiffer, and Stephan Sturm

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:58.725425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 399a7dd9-28bb-4713-bf31-32958fdb5e91 · outbound

This paper cites Classifying commodities using the signature method.

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique Classifying commodities using the signature method

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:58.649746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cb9cbbf0-b2cc-445f-97c9-2c75f82a64e0 · outbound

This paper cites An introduction to statistical learning---with applications in P ython.

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique An introduction to statistical learning---with applications in P ython

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:58.508823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 86c049b0-7685-42f9-a458-75374178590b · outbound

This paper cites Differential equations driven by rough signals.

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique Differential equations driven by rough signals

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:58.356612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f8fdd0d6-6dc3-4501-956e-edbe5b6ae46f · outbound

This paper cites an unresolved cited work.

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:58.217236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1ef36aad-9e9e-413c-a8f1-a32b659817df · outbound

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

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique A Generalised Signature Method for Multivariate Time Series Feature Extraction

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:57.686872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eb3ac4d-cbf5-412f-8353-9b78b010eb3e · outbound

This paper cites The signature-based model for early detection of sepsis from electronic health records in the intensive care unit.

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique The signature-based model for early detection of sepsis from electronic health records in the intensive care unit

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:58.094891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 14499142-8574-40d4-82e8-912c48df6a50 · outbound

This paper cites Rough path theory and signatures applied to quantitative finance.

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique Rough path theory and signatures applied to quantitative finance

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:58.059568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f0f2dce-f5bb-4896-8c0b-453d65458475 · outbound

This paper cites The iisignature library: efficient calculation of iterated-integral signatures and log signatures.

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique The iisignature library: efficient calculation of iterated-integral signatures and log signatures

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:57.810621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.