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Paper Citation Record · LEDGER

Theory IIIb: Generalization in Deep Networks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1806.11379.

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

pith.paper-citation-record.v1
1806.11379 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 2026-08-11T13:31:54.919734Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T18:02:19.270285Z

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 b200e21f-5c4a-4ded-96b6-b331690e42f8 · inbound

Gaussian Splatting for Efficient Satellite Image Photogrammetry cites this paper.

Gaussian Splatting for Efficient Satellite Image Photogrammetry Theory IIIb: Generalization in Deep Networks

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T13:31:54.919734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:31:54.919734Z digest=sha256:8860dafc025329020d6d529cc292be5f07065436caaf2397166b7093f3adb7fd

Observation 2dab9a6c-6b74-4d76-a33a-e45c3db06cfa · inbound

Can Bayesian Neural Networks Make Confident Predictions? cites this paper.

Can Bayesian Neural Networks Make Confident Predictions? Theory IIIb: Generalization in Deep Networks

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-10T18:02:19.280918Z

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=2026-08-10T18:02:18.952118Z digest=sha256:2a733d997a07b0c068b69bff9f827b33b7bb23e10aef736cfef9c5057da58931