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Paper Citation Record · LEDGER

PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1904.09378.

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

pith.paper-citation-record.v1
1904.09378 v4

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 2026-08-04T04:19:43.732611Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T18:39:48.929079Z

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 70869cbf-1836-4375-9fa2-0509371b3736 · inbound

Persistence Homology of Networks: Methods and Applications cites this paper.

Persistence Homology of Networks: Methods and Applications PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-24T18:39:48.932544Z

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=pdf_text observed=2026-05-24T18:39:24.711510Z digest=sha256:5258ee77ffdffc717e12bd8b9b276efd47ae84924de725b5074d3dd2eb5fea09

Observation a85f8bd5-8950-45b2-86d7-eedd9206a787 · inbound

On the Spectral Synthesis of Lipschitz Persistence Diagram Vectorizations cites this paper.

On the Spectral Synthesis of Lipschitz Persistence Diagram Vectorizations PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T19:37:02.194988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T19:37:02.194988Z digest=sha256:7e41b5731f3c35c2b768b5e1bdc64609cfea2e90d8011543c30d4fc7b39a254a

Observation e28bb0e7-d26d-465e-995d-3209538b3e91 · inbound

On the Spectral Synthesis of Lipschitz Persistence Diagram Vectorizations cites this paper.

On the Spectral Synthesis of Lipschitz Persistence Diagram Vectorizations PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T04:19:43.732611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T04:19:43.732611Z digest=sha256:028e0bee69a0fd33bf2b5878114f4a391560d32a641dd83f2c54d21683b20a5f