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Paper Citation Record · LEDGER

The density of expected persistence diagrams and its kernel based estimation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1802.10457.

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

pith.paper-citation-record.v1
1802.10457 v2

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:10:01.604224Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:16:36.846284Z

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 2ff40581-95cc-4fdb-9cf1-ea579913075f · inbound

Dynamical Persistent Homology via Wasserstein Gradient Flow cites this paper.

Dynamical Persistent Homology via Wasserstein Gradient Flow The density of expected persistence diagrams and its kernel based estimation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T22:10:01.604224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:10:01.604224Z digest=sha256:5992a0ef4f5789f32f7d676f6e106f22a80e0d448fa8f04312d352098251ea4b

Observation db292172-4480-440b-a9ea-e90b00650f65 · inbound

Enhancing Graph Representation Learning with Localized Topological Features cites this paper.

Enhancing Graph Representation Learning with Localized Topological Features The density of expected persistence diagrams and its kernel based estimation

Reference 2019

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:16:36.851131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:16:36.671781Z digest=sha256:fc2475d3d828357449808b3f3944411a3ca23b8472e6f1d3e20869788829afa7