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Paper Citation Record · LEDGER

Neural graphical modelling in continuous-time: consistency guarantees and algorithms

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2105.02522.

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

pith.paper-citation-record.v1
2105.02522 v3

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:41:14.739995Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:42:14.060763Z

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 5aac9afe-2136-43f6-b08e-09def9e09d60 · inbound

Identifiability Challenges in Sparse Linear Ordinary Differential Equations cites this paper.

Identifiability Challenges in Sparse Linear Ordinary Differential Equations Neural graphical modelling in continuous-time: consistency guarantees and algorithms

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:42:14.062430Z

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=2026-05-19T09:38:17.073391Z digest=sha256:ce06613b7ab3bb4b49bd9531faa5f43cd90a6dd71d67bdbbe92d9c38affa6e67

Observation 578f6d4d-ee72-496e-ab67-6953046ba51d · inbound

Causal Discovery on Irregular Time Series cites this paper.

Causal Discovery on Irregular Time Series Neural graphical modelling in continuous-time: consistency guarantees and algorithms

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T15:41:14.739995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:41:14.739995Z digest=sha256:00afb42d3367f3ffef699a5180e66ca2cacc823aee1e87e292549f0e4bdf28f8