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Paper Citation Record · LEDGER

Lecture notes on rough paths and applications to machine learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.06583.

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

pith.paper-citation-record.v1
2404.06583 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:49:40.157370Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T20:14:08.345737Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9cfae1bb-8830-4a28-97d4-689fb06361a9 · inbound

Signature Reconstruction from Randomized Signatures cites this paper.

Signature Reconstruction from Randomized Signatures Lecture notes on rough paths and applications to machine learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T05:49:40.157370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:49:40.157370Z digest=sha256:90b88b94550b3468592b73f98545223f250a8d4ed1e48b1db071625d83c8b338

Observation dda62e47-537b-4167-a66e-e23992e95b95 · inbound

Detecting malignant dynamics on very few blood sample using signature coefficients cites this paper.

Detecting malignant dynamics on very few blood sample using signature coefficients Lecture notes on rough paths and applications to machine learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:11:55.287135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:11:55.287135Z digest=sha256:054c20ec6271c4d7dfb2b32adcf2e008fd26bda9675eb17c265ca84ac16d1b6b

Observation 595455f2-9d35-436e-b388-1574f710cf30 · inbound

A Path Signature Framework for Detecting Creative Fatigue in Digital Advertising cites this paper.

A Path Signature Framework for Detecting Creative Fatigue in Digital Advertising Lecture notes on rough paths and applications to machine learning

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:31:41.694175Z

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.

source=arxiv_source observed=2026-05-18T17:29:10.416792Z digest=sha256:ec1c7eb3dfa0c60ee7c3dd3ecfdc88f4621e17e56fb7468a4c668db8b1cf6fe8

Observation 64ce454a-3fb2-46ff-af83-715461b3770f · inbound

Advances in Neural Controlled Differential Equations cites this paper.

Advances in Neural Controlled Differential Equations Lecture notes on rough paths and applications to machine learning

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-07-07T20:14:08.349143Z

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.

source=pdf_text observed=2026-07-07T20:04:22.371997Z digest=sha256:d6ea2e5e39fc9de5225b68b235804f6ce818634b02f6acd81b425ad2d2c43094

Observation a9daf12e-1271-4acd-8619-7083d1ceaeef · inbound

On the role of positivity preservation for high order approximations of the Dean--Kawasaki equation cites this paper.

On the role of positivity preservation for high order approximations of the Dean--Kawasaki equation Lecture notes on rough paths and applications to machine learning

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-05T00:27:29.678637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:27:29.678637Z digest=sha256:845404177c030ae5315c867affed699190a0fabee3a30436130bbb15c1b9cac6