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Paper Citation Record · LEDGER

Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1707.00075.

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

pith.paper-citation-record.v1
1707.00075 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:53:26.655644Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:42:05.609805Z

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 35a65bd6-baa8-4d28-a52e-ac9751914b95 · inbound

Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion cites this paper.

Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T22:53:26.655644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:53:26.655644Z digest=sha256:24d0dda06aa2d55636af5105228921c0160be6eed886b3ea964234c69ad9187c

Observation e2191966-4b57-4049-9850-993c6ac4551a · inbound

Mitigating Algorithmic Bias in Multiclass CNN Classifications Using Causal Modeling cites this paper.

Mitigating Algorithmic Bias in Multiclass CNN Classifications Using Causal Modeling Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T20:35:25.680631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:35:25.680631Z digest=sha256:82e29696e06fe74c2b8e311d87bfd30f87f82861a0debf8d99b61bfa54bec57b

Observation 4d8433e6-41de-4e87-a59c-192f12e09cbf · inbound

Evaluating Simple Debiasing Techniques in RoBERTa-based Hate Speech Detection Models cites this paper.

Evaluating Simple Debiasing Techniques in RoBERTa-based Hate Speech Detection Models Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T14:20:41.567147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:20:41.567147Z digest=sha256:403991bad5e13578c1d797b4693cc8925ef2cc4a4a9219dd9c982b24f2681443

Observation d0487568-4e8e-48d8-a121-dba47db10ea3 · inbound

ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition cites this paper.

ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-09T20:04:48.427077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:04:48.427077Z digest=sha256:2635e978b61a7d20f21051a9b712ac7d9ef305f09396d24c1017290d26f5fc90

Observation 123c7456-73c1-42c6-949f-31f69e5e55f6 · inbound

Understanding and evaluating computer vision models through the lens of counterfactuals cites this paper.

Understanding and evaluating computer vision models through the lens of counterfactuals Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations

Reference 174

Resolution
unresolved
no resolver link, observed 2026-08-05T14:49:31.508612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:49:31.508612Z digest=sha256:fffb85ca08f5a27c521a080070f278c2df4ce1e6f2b5898fc57f4655116aa288

Observation 3865cc76-2607-4386-ba3c-94736cea9c25 · inbound

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' cites this paper.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T23:34:22.839522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:34:22.839522Z digest=sha256:dd8c7802abdcec9027f3e1a445a10f456d3550b5c312705f5cc9d1f063213a35

Observation 30c51f2e-b258-467a-a15b-9d454df8f501 · inbound

Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection cites this paper.

Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:03:15.723911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-12T02:16:34.307559Z digest=sha256:fb5e490dedbb60f2159d9965c4e49398a57a53add1c21f1ff3552dd625afe37c