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Paper Citation Record · LEDGER

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.14636.

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

pith.paper-citation-record.v1
2501.14636 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:19:28.082782Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:19:31.380219Z

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 b82ec691-dff5-40de-a472-de8de66bed89 · inbound

Optimal Linear Baseline Models for Scientific Machine Learning cites this paper.

Optimal Linear Baseline Models for Scientific Machine Learning A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:19:31.383680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:19:28.082782Z digest=sha256:bec6491fa982061264b74e47bef46a967b2001147b3a013be86f5b97f3339e29

Observation 25068ca7-8305-4800-9801-f7a16e90becb · inbound

Variational Sparse Paired Autoencoders (vsPAIR) for Inverse Problems and Uncertainty Quantification cites this paper.

Variational Sparse Paired Autoencoders (vsPAIR) for Inverse Problems and Uncertainty Quantification A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T05:14:55.893398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:14:55.893398Z digest=sha256:addff6d1cb928fc3f6eacc2cfea97e5920bdedfd477d5b3ed48db9ade01001f9