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Paper Citation Record · LEDGER

Neural Graphical Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.00453.

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

pith.paper-citation-record.v1
2210.00453 v4

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:39:37.338740Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T20:04:05.535704Z

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 df664ce7-2325-4920-824d-3c8ead597c1f · inbound

Obstacle-aware Gaussian Process Regression cites this paper.

Obstacle-aware Gaussian Process Regression Neural Graphical Models

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-11T20:04:05.539003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:04:05.404012Z digest=sha256:a0a7fecedcc5576b1aa9f59fd43145a7bcd55672d75dd3e8e5729580682133f9

Observation 9bdd91ac-578a-4452-bac4-2a2f74817bfc · inbound

Markov Missing Graph: A Graphical Approach for Missing Data Imputation cites this paper.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Neural Graphical Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T16:39:37.338740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:39:37.338740Z digest=sha256:65578c9426b1cd47a7a8f885b01d5af0b57cd2d2933f4f628fb4e7b4b1d2f164