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Paper Citation Record · LEDGER

Topological Methods in Machine Learning: A Tutorial for Practitioners

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.02901.

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

pith.paper-citation-record.v1
2409.02901 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T13:03:57.649989Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 fe88b643-8279-4b1a-a692-27778b178665 · inbound

TopoFormer: Topology Meets Attention for Graph Learning cites this paper.

TopoFormer: Topology Meets Attention for Graph Learning Topological Methods in Machine Learning: A Tutorial for Practitioners

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-07-31T13:03:57.649989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T13:03:57.649989Z digest=sha256:d1031d3744299bd5f567bb8bfa2d631c85954b84228311af194903cce2d91ba3

Observation a42a171a-0055-4157-96ab-815cde48984b · inbound

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors cites this paper.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Topological Methods in Machine Learning: A Tutorial for Practitioners

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-31T04:39:46.692358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T04:39:46.692358Z digest=sha256:073d9bd54be3e1c0903ecc6b807fc4a4181000b5666dae0c9f0fb6ee90cd52a3