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Paper Citation Record · LEDGER

Enforcing Statistical Constraints in Generative Adversarial Networks for Modeling Chaotic Dynamical Systems

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.06841.

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

pith.paper-citation-record.v1
1905.06841 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:46:21.193431Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T05:38:39.407639Z

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 bda9a999-01b5-4c82-bd76-ff9459b6f60f · inbound

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers cites this paper.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Enforcing Statistical Constraints in Generative Adversarial Networks for Modeling Chaotic Dynamical Systems

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-14T10:46:21.193431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:46:21.193431Z digest=sha256:d0f37ebf08d93e17e364c3eaf1da1f2c4e388b2cb2c9cc3753ab4dc535615847

Observation a1f00534-b9b3-4b57-93bb-c2dc4e4e54bf · inbound

Enforcing Analytic Constraints in Neural-Networks Emulating Physical Systems cites this paper.

Enforcing Analytic Constraints in Neural-Networks Emulating Physical Systems Enforcing Statistical Constraints in Generative Adversarial Networks for Modeling Chaotic Dynamical Systems

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:38:39.413888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T05:38:39.137556Z digest=sha256:3b2ac81350d505982338b76ff3851bf6f2848df97c4e90d9ced1a87c631b0763