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Paper Citation Record · LEDGER

A Generative Model of Galactic Dust Emission Using Variational Inference

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.11181.

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

pith.paper-citation-record.v1
2101.11181 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:48:07.054816Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T18:50:29.613163Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
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  • 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 2eca24b9-7ac8-4173-937d-bf7ecd404a93 · inbound

Deep Needlet: A CNN based full sky component separation method in Needlet space cites this paper.

Deep Needlet: A CNN based full sky component separation method in Needlet space A Generative Model of Galactic Dust Emission Using Variational Inference

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T20:48:07.054816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:48:07.054816Z digest=sha256:0afad4d2f70874f6ff6063aae10106555d86d2ca6805346bf595515dfc8f7c17

Observation 23d623bc-e72e-45a7-8a71-9f2744f2b6f2 · inbound

Non-Gaussianity in SMICA cites this paper.

Non-Gaussianity in SMICA A Generative Model of Galactic Dust Emission Using Variational Inference

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-21T18:50:29.617010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T18:49:55.245811Z digest=sha256:3258e27575d15cd6f956ddd0489c4dc54a5aac67b49b24ccfd74b5097ff00bf4