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Paper Citation Record · LEDGER

Learning neural state-space models: do we need a state estimator?

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.12928.

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

pith.paper-citation-record.v1
2206.12928 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:11:51.874740Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T22:56:35.481470Z

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 02b76dcf-9d3d-4001-b7dd-251a64784835 · inbound

Meta-Learning for Physically-Constrained Neural System Identification cites this paper.

Meta-Learning for Physically-Constrained Neural System Identification Learning neural state-space models: do we need a state estimator?

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T21:11:51.874740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:11:51.874740Z digest=sha256:0111ab8902f19cd3201dfa482248fafb664c61f6bc4190b5ea03ca9e8fbb6ea0

Observation 5244b967-af3c-4435-8058-6b317e3c1fc9 · inbound

Graph Neural Ordinary Differential Equations for Power System Identification cites this paper.

Graph Neural Ordinary Differential Equations for Power System Identification Learning neural state-space models: do we need a state estimator?

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:56:35.485647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T02:05:24.899366Z digest=sha256:49d1079091d9378fa3db65c493f4cba767a054b4fd5273519e13a34e4fd319e7