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Paper Citation Record · LEDGER

Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.07082.

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

pith.paper-citation-record.v1
2210.07082 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 2026-08-16T04:39:55.019942Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:29:50.994966Z

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 0beb3973-5f06-4848-9285-64e2c0825a93 · inbound

How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias cites this paper.

How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-16T04:39:55.019942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:39:55.019942Z digest=sha256:3f5ec066c9f672cee5f32484cd3058b5e06e757c4af52300c5471df13a9e6b77

Observation 998482b0-fbca-4a05-afc5-ea4ade57f033 · inbound

Structure Before Collapse: Transient semantic geometry in next-token prediction cites this paper.

Structure Before Collapse: Transient semantic geometry in next-token prediction Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data

Reference 271

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:29:50.996559Z

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=arxiv_source observed=2026-06-26T05:14:07.208255Z digest=sha256:c56668785108f7f19e86124a8cfd0c86b0374fd90f0bdf86173ea5d80ea4fd5a