Pith. sign in

Paper Citation Record · LEDGER

Learning invariant representations of time-homogeneous stochastic dynamical systems

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.09912.

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

pith.paper-citation-record.v1
2307.09912 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:21:40.397208Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:36:19.587888Z

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 e298e20a-9b36-43fd-a55d-259843c1b3e7 · inbound

Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation cites this paper.

Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation Learning invariant representations of time-homogeneous stochastic dynamical systems

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T16:21:40.397208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:21:40.397208Z digest=sha256:c805997aeca04933190649a4f24e46fd22ecf06aa13e2c80ebfaada58547a2fd

Observation 0e60af27-cf8b-46a9-b303-5c78030ebb65 · inbound

Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems cites this paper.

Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems Learning invariant representations of time-homogeneous stochastic dynamical systems

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:36:19.664295Z

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=2026-08-07T14:36:12.621291Z digest=sha256:06d230243e7d3053fa4f1865db9548525d1e35a41d0c6161696139a66ecea5a7