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Paper Citation Record · LEDGER

Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class Hierarchy

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2502.12125.

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

pith.paper-citation-record.v1
2502.12125 v1

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 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:52:49.460798Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T05:52:50.093381Z

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 107a0113-f1ce-4b44-980d-f46841fa5ebc · inbound

Neural network task specialization via domain constraining cites this paper.

Neural network task specialization via domain constraining Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class Hierarchy

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-16T05:52:50.098192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T05:52:49.460798Z digest=sha256:fe1a00c868e3e13492b44f4a184aecefeeb7383a88c4bf20b2f747a68f82b87e