Pith. sign in

Paper Citation Record · LEDGER

Uncertainty-guided Continual Learning with Bayesian Neural Networks

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1906.02425.

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

pith.paper-citation-record.v1
1906.02425 v2

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:31:45.789027Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:43:59.612149Z

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 b23ce9f8-5c8c-41a7-bb91-bfd679de0a3d · inbound

Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks cites this paper.

Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks Uncertainty-guided Continual Learning with Bayesian Neural Networks

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-12T15:31:45.789027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:31:45.789027Z digest=sha256:be43ece60da967f20a691d0d47cdf1d7e160f6a8347a83dda82b402b781411d0

Observation d7a1a762-78f9-491c-90a4-509e765a2ce2 · inbound

A Novel Active Learning Approach to Label One Million Unknown Malware Variants cites this paper.

A Novel Active Learning Approach to Label One Million Unknown Malware Variants Uncertainty-guided Continual Learning with Bayesian Neural Networks

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:43:59.682089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:43:56.480993Z digest=sha256:4cbd7cb5adc1afad5a2de584be64687d40ed73772ac336d705fd19ace7f3ba93