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Paper Citation Record · LEDGER

State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.21314.

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

pith.paper-citation-record.v1
2407.21314 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:35:46.988384Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:03:12.549396Z

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 9e40d96f-c701-4175-96e1-082cd837eaec · inbound

Nonlinear Assimilation via Score-based Sequential Langevin Sampling cites this paper.

Nonlinear Assimilation via Score-based Sequential Langevin Sampling State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:03:12.553103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-23T17:00:36.064749Z digest=sha256:b01101bab929ea88ec54c37dba045b9e550c554306787a2e2102f4a4c76aaa5b

Observation 582a4fd6-636d-4174-a4e0-bd68df75a083 · inbound

Using Diffusion Models to do Data Assimilation cites this paper.

Using Diffusion Models to do Data Assimilation State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T11:35:46.988384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:35:46.988384Z digest=sha256:6692f8068c134bd8ac0b6a61d001fdf25f047e4fde7a076b9ae4521c31e4a095