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Paper Citation Record · LEDGER

Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1904.12286.

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

pith.paper-citation-record.v1
1904.12286 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:53:09.407882Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:25:27.833797Z

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 156d661c-785a-4e92-a5ed-b8e5669b550e · inbound

Quantifying the Prediction Uncertainty of Machine Learning Models for Individual Data cites this paper.

Quantifying the Prediction Uncertainty of Machine Learning Models for Individual Data Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T18:53:09.407882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:53:09.407882Z digest=sha256:707d0e3514b36334cc86639e2243352b550c82f74c9bef6e5bdc193c78aedd80

Observation 80e4fb1a-0ec2-4cd6-80fc-6d51f3320168 · inbound

Functional Risk Minimization cites this paper.

Functional Risk Minimization Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-10T23:07:26.851119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:26.851119Z digest=sha256:ba4796f430b161d59cd092398aca2ff0ff59912eaa0222d9e2710d89a0a6a43b

Observation 50c0de7c-b501-47c2-bf32-e758b53fc597 · inbound

Skillful joint probabilistic weather forecasting from marginals cites this paper.

Skillful joint probabilistic weather forecasting from marginals Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks

Reference 2023

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:25:27.837743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T04:25:27.443653Z digest=sha256:ea44ca3c3a9d1cce45ee93823be6c7240de47c101bfe1ae538ef02747cd0a959