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Paper Citation Record · LEDGER

Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2004.13152.

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

pith.paper-citation-record.v1
2004.13152 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:51:10.680648Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 0b201674-3222-44a1-a48d-e96e3176bfc3 · inbound

Object Recognition Datasets and Challenges: A Review cites this paper.

Object Recognition Datasets and Challenges: A Review Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users

Reference 238

Resolution
unresolved
no resolver link, observed 2026-08-06T11:51:10.680648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:51:10.680648Z digest=sha256:bab3956c6a7e1a2db4a10afd872051c75f86c996f77c04d86753f50575fd27b7

Observation af7cce2a-69b2-4deb-b363-5defa76ac7dd · inbound

Decoupling Variance and Scale-Invariant Updates in Adaptive Gradient Descent for Unified Vector and Matrix Optimization cites this paper.

Decoupling Variance and Scale-Invariant Updates in Adaptive Gradient Descent for Unified Vector and Matrix Optimization Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-03T03:56:42.960283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T03:56:42.960283Z digest=sha256:c8c9919bce3e7a46efafa1a4faaabedb2303dcc7d16f7e42d1daaf014763bc2b