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Paper Citation Record · LEDGER

Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty Quantification

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.03334.

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

pith.paper-citation-record.v1
2411.03334 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 2026-08-04T07:36:34.572169Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 3f2b3cf8-65f4-4093-8f1f-9d2b2e657c11 · inbound

The Ray Tracing Sampler: Bayesian Sampling of Neural Networks for Everyone cites this paper.

The Ray Tracing Sampler: Bayesian Sampling of Neural Networks for Everyone Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty Quantification

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T07:36:34.572169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:36:34.572169Z digest=sha256:c4ed9e5f527e1615fc5f549f87996e90b538f3be508481fa680789d58fb46f7d

Observation bfc92a68-8f65-4a91-ae57-32548b0de1e3 · inbound

From Simulations to Surveys: Domain Adaptation for Galaxy Observations cites this paper.

From Simulations to Surveys: Domain Adaptation for Galaxy Observations Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty Quantification

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T20:45:53.475715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:45:53.475715Z digest=sha256:a9838fc7460017c27a4663b829dc8264506dbe2c6abca3ce218cdf1dfad63619