Pith. sign in

Paper Citation Record · LEDGER

Deep MMD Gradient Flow without adversarial training

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2405.06780.

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

pith.paper-citation-record.v1
2405.06780 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:32:19.344045Z

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 69e1fbc5-74de-472f-9a5f-92c04bed78cc · inbound

Generative Modeling via Kernelized Stochastic Interpolants cites this paper.

Generative Modeling via Kernelized Stochastic Interpolants Deep MMD Gradient Flow without adversarial training

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T21:32:19.344045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:32:19.344045Z digest=sha256:5316945484c8a8f0993f2280589412bafa5fcb40add1f8d1e050f0096c483ed6