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Paper Citation Record · LEDGER

Technical Challenges for Training Fair Neural Networks

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.06764.

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

pith.paper-citation-record.v1
2102.06764 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:54:52.196249Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:14:06.038682Z

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 77e216f8-cf08-4fbf-89d2-fe197712e6aa · inbound

Disentanglement and Assessment of Shortcuts in Ophthalmological Retinal Imaging Exams cites this paper.

Disentanglement and Assessment of Shortcuts in Ophthalmological Retinal Imaging Exams Technical Challenges for Training Fair Neural Networks

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:52.196249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:52.196249Z digest=sha256:5f45cc0a747cd8ac320ea36f0a557ff56f5efd198d10fe30212fc4d896db6c2d

Observation 2d1ff08a-30f9-4691-b18c-0cd632d76ea9 · inbound

SWiFT: Soft-Mask Weight Fine-tuning for Bias Mitigation cites this paper.

SWiFT: Soft-Mask Weight Fine-tuning for Bias Mitigation Technical Challenges for Training Fair Neural Networks

Reference 2024

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:14:06.043298Z

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=2026-08-05T16:14:05.908507Z digest=sha256:15a37c1a82431ba58e7b154f904d306852595e269fe01b76ccfa71a0726d7f2a