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Paper Citation Record · LEDGER

Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.03390.

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

pith.paper-citation-record.v1
2410.03390 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:20:23.742987Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T04:52:17.133226Z

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 c48301e2-dde7-4a63-bc58-d1ef805f7b01 · inbound

Learning Credal Ensembles via Distributionally Robust Optimization cites this paper.

Learning Credal Ensembles via Distributionally Robust Optimization Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T03:20:23.742987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:20:23.742987Z digest=sha256:183d94c7dc3f107d4094c8ad0252420eef908d1ce111a92911e40cba0d544600

Observation 73699d33-2491-4577-9b0b-0c6fe24229ee · inbound

Self-Supervised Laplace Approximation for Bayesian Uncertainty Quantification cites this paper.

Self-Supervised Laplace Approximation for Bayesian Uncertainty Quantification Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:52:17.134797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-13T04:49:15.239636Z digest=sha256:9176a26e97b5338db9b14cec2f333c15d9fec27762eeb3a28634ef7a3c08c21f