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Paper Citation Record · LEDGER

Data Assimilation in the Latent Space of a Neural Network

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2012.12056.

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

pith.paper-citation-record.v1
2012.12056 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T10:09:14.912384Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T10:11:23.203983Z

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 16665acb-560a-42c1-b4ce-32e7a863b813 · inbound

VIVALDy: A Hybrid Generative Reduced-Order Model for Turbulent Flows, Applied to Vortex-Induced Vibrations cites this paper.

VIVALDy: A Hybrid Generative Reduced-Order Model for Turbulent Flows, Applied to Vortex-Induced Vibrations Data Assimilation in the Latent Space of a Neural Network

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:21:21.398060Z

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=2026-05-18T12:17:24.074286Z digest=sha256:f2a0e502cf2ecddf5924be8b611d15a2e36ebd1d9e163bf91c9e367f7ade5439

Observation 19a66f8e-d90d-4457-8062-1ef700052b08 · inbound

Rethinking Forward Processes for Score-Based Nonlinear Data Assimilation in High Dimensions cites this paper.

Rethinking Forward Processes for Score-Based Nonlinear Data Assimilation in High Dimensions Data Assimilation in the Latent Space of a Neural Network

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:23:06.486944Z

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=2026-05-13T18:18:36.529855Z digest=sha256:b0f6a5e4eb378a8b8dd5cd8ba8c9e6634354b7b2bfefb6f24aab2b124600c4d6

Observation f188ab56-2ce9-4c68-8223-48819d16835a · inbound

Rethinking Forward Processes for Score-Based Nonlinear Data Assimilation in High Dimensions cites this paper.

Rethinking Forward Processes for Score-Based Nonlinear Data Assimilation in High Dimensions Data Assimilation in the Latent Space of a Neural Network

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-22T10:11:23.207505Z

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=2026-05-22T10:09:14.912384Z digest=sha256:c83a0741e9677191c420ecb8e1bf0642bd08819542aa7f1d9a8ff83a7e519e28