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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-14T06:32:32.682623+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=sha256:3279a0645397b0cce2b027d5919f88fe83673034cfe52c86f2faf596d703922a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T02:05:24.899366Z digest=sha256:350d029de0835d2389db4bfb8e895e29a35be21479a5726235b2719c97f148a1