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Paper Citation Record · LEDGER

Improving Output Uncertainty Estimation and Generalization in Deep Learning via Neural Network Gaussian Processes

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1707.05922.

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

pith.paper-citation-record.v1
1707.05922 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:06:32.571772Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:27:30.789591Z

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 e3b164d0-649a-4c78-b2b4-debe8abd9ef4 · inbound

Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks cites this paper.

Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks Improving Output Uncertainty Estimation and Generalization in Deep Learning via Neural Network Gaussian Processes

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:32.571772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:06:32.571772Z digest=sha256:63c1011bfe2a0479a4e1da53834d7bf1a28b0d1c7c0751b941054bd1594d18eb

Observation f5dc54b4-0225-4e52-8327-ec689a82d327 · inbound

Semantic-Aware Gaussian Process Calibration with Structured Layerwise Kernels for Deep Neural Networks cites this paper.

Semantic-Aware Gaussian Process Calibration with Structured Layerwise Kernels for Deep Neural Networks Improving Output Uncertainty Estimation and Generalization in Deep Learning via Neural Network Gaussian Processes

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:27:30.792694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:27:30.611339Z digest=sha256:6764f89b4fb5d8333abfacfb4a9844891b46dc57c47811fbef0d75eb4ee64e45