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Paper Citation Record · LEDGER

Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.05508.

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

pith.paper-citation-record.v1
2312.05508 v3

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:38:49.278325Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 428cab5c-2c53-4646-9365-8757675efe91 · inbound

TRIX- Trading Adversarial Fairness via Mixed Adversarial Training cites this paper.

TRIX- Trading Adversarial Fairness via Mixed Adversarial Training Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T18:38:49.278325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:38:49.278325Z digest=sha256:711693b1c4ef934743cc34d616ddee82a9b8b5cda407e6d7857a7c44e610be4d

Observation bc9bfd26-1581-4f0d-a83c-dff9f464105f · inbound

Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.

Toward Calibrated, Fair, and accurate Deepfake Detection Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation

Reference 182

Resolution
verified exact
arxiv_id, observed 2026-06-28T07:11:45.334556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-28T07:05:18.026601Z digest=sha256:32a748916b3976e491912584595d1a76fab194084f1ecae4d7ae7b9ef1584b2a