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Paper Citation Record · LEDGER

Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1606.07839.

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

pith.paper-citation-record.v1
1606.07839 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:57:10.020004Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:57:10.112300Z

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 f791b27e-b63e-43f2-80d2-8c7fe11e4614 · inbound

LANet: A Lane Boundaries-Aware Approach For Robust Trajectory Prediction cites this paper.

LANet: A Lane Boundaries-Aware Approach For Robust Trajectory Prediction Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:57:10.115029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:57:10.020004Z digest=sha256:9c8a637fd1f880009e753f9e16de7526503c991ed4e90d6936cf0a05ccef8b0a