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Paper Citation Record · LEDGER

Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2105.14559.

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

pith.paper-citation-record.v1
2105.14559 v3

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:14:55.556866Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T19:14:55.801268Z

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 9355a16a-6c3d-4099-823f-1e71b4bed641 · inbound

Targeting Negative Flips in Active Learning using Validation Sets cites this paper.

Targeting Negative Flips in Active Learning using Validation Sets Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-12T19:14:55.807770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T19:14:55.556866Z digest=sha256:1c8430d5c331a9f8e853c8cca1a0adf6bdcaac3ee2d7c06abb27efdb4e4febf7

Observation 2cd018cb-636e-4284-99cd-f48a1cdb6827 · inbound

Combining Discrepancy-Confusion Uncertainty and Calibration Diversity for Active Fine-Grained Image Classification cites this paper.

Combining Discrepancy-Confusion Uncertainty and Calibration Diversity for Active Fine-Grained Image Classification Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-04T14:42:47.119056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:47.119056Z digest=sha256:8b7493b3d4b380f4aade9ffb59de46c6f1591b32c2bca75143f9df6f76cec3c2