Paper Citation Record · LEDGER

Informative Neural Ensemble Kalman Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2008.09915.

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

pith.paper-citation-record.v1
2008.09915 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:22:06.017160Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

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verified fuzzy0
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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 419d4502-f72b-4330-bc4b-68d7d64ddf8b · inbound

Learning Surrogate Rainfall-driven Inundation Models with Few Data cites this paper.

Learning Surrogate Rainfall-driven Inundation Models with Few Data Informative Neural Ensemble Kalman Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T10:22:06.017160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73a2c4b6-db36-4398-ad1b-2ffc6bb34c92 · inbound

Rapid Climate Model Downscaling to Assess Risk of Extreme Rainfall in Bangladesh in a Warming Climate cites this paper.

Rapid Climate Model Downscaling to Assess Risk of Extreme Rainfall in Bangladesh in a Warming Climate Informative Neural Ensemble Kalman Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T10:40:57.369064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6e0a427-f457-4625-9181-4de2101fa90a · inbound

A Root-Zone Soil Salinity Observatory for Coastal Southwest Bangladesh cites this paper.

A Root-Zone Soil Salinity Observatory for Coastal Southwest Bangladesh Informative Neural Ensemble Kalman Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T23:59:18.332988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4513ad53-8e31-4c35-b289-1c87c8eefa90 · inbound

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes cites this paper.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Informative Neural Ensemble Kalman Learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T23:05:26.711963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a57687d2-45a2-4d12-85b4-ce8d391d9cd2 · inbound

Learning a Stochastic Differential Equation Model of Tropical Cyclone Intensification from Reanalysis and Observational Data cites this paper.

Learning a Stochastic Differential Equation Model of Tropical Cyclone Intensification from Reanalysis and Observational Data Informative Neural Ensemble Kalman Learning

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:01:02.984945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.