Pith. sign in

Paper Citation Record · LEDGER

Applications of Signature Methods to Market Anomaly Detection

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2201.02441.

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

pith.paper-citation-record.v1
2201.02441 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:49:40.121664Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:26:45.993517Z

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 8999622e-f004-4bad-944c-0c7a365ace73 · inbound

Signature Reconstruction from Randomized Signatures cites this paper.

Signature Reconstruction from Randomized Signatures Applications of Signature Methods to Market Anomaly Detection

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T05:49:40.121664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:49:40.121664Z digest=sha256:ec73a72e12b034802e42f9227899ed4c84a8e59d226de97362f4009ef8b222e2

Observation 9dc65055-cea4-4860-8ace-80308db0a5ea · inbound

Generating Financial Time Series by Matching Random Convolutional Features cites this paper.

Generating Financial Time Series by Matching Random Convolutional Features Applications of Signature Methods to Market Anomaly Detection

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:26:45.994970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T06:56:06.376335Z digest=sha256:84fdbb71fe1fcf777f4d7c31d228bd88f46f227100b9a73d8b777c5c6134948a

Observation 6996f831-b321-49a4-a677-44fac4b025fa · inbound

Velocity- and Regime-Aware Detection of Intraday Options Market Manipulation, with Explainable Attribution cites this paper.

Velocity- and Regime-Aware Detection of Intraday Options Market Manipulation, with Explainable Attribution Applications of Signature Methods to Market Anomaly Detection

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T14:24:47.389258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:24:47.389258Z digest=sha256:4a8b3f8999cf340a95cd62cf02d69c21872c9be8f9c2e16e664abf46e4fac54f