Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:1810.01943.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:40:49.081675Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
268
pith, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation ad11937e-b3b1-4beb-aeba-85277350e7ec · inbound
Differential Parity: Relative Fairness Between Two Sets of Decisions AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2f543b9b-717d-4931-a403-0e4eaf457b2f · inbound
Exploring a Behavioral Model of "Positive Friction" in Human-AI Interaction AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c28b8baa-638e-43f4-8d60-0935735d2505 · inbound
Advancing Responsible Innovation in Agentic AI: A study of Ethical Frameworks for Household Automation AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2532275b-48fe-4a95-84c3-6b45bee8c2d9 · inbound
Helix 1.0: An Open-Source Framework for Reproducible and Interpretable Machine Learning on Tabular Scientific Data AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7088de15-d97d-4cbd-bf11-d52eec3a2371 · inbound
Development of management systems using artificial intelligence systems and machine learning methods for boards of directors (preprint, unofficial translation) AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Reference 2018
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5028ac7-b93e-46a3-82b4-25e1a3b506ca · inbound
Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef7542e2-9e0c-4d7a-ba1b-971aebdd1d7b · inbound
CaTE Data Curation for Trustworthy AI AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a22b835-0d02-4a70-9e86-349e484bad78 · inbound
Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ce21c2a-802f-43ac-9653-b4911fe44f0e · inbound
InsightBoard: An Interactive Multi-Metric Visualization and Fairness Analysis Plugin for TensorBoard AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ba7cb723-d81e-40ae-aab4-a582ef65442c · inbound
FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation dac9dad4-870c-4f38-808f-dfec8f11bea3 · inbound
Towards Reliable Testing of Machine Unlearning AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 27089819-02ff-4feb-b251-fe67fc2d5b74 · inbound
FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c6da752b-3abb-4898-8614-daaecae144d8 · inbound
FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ed48d931-143a-4199-97bc-5b661fd1891d · inbound
Toward Calibrated, Fair, and accurate Deepfake Detection AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Reference 127
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c202f74d-9702-4012-a8ba-dcb4d820763b · inbound
Beyond Third-Person Audits: Situated Interaction Auditing for User-Centered LLM Bias Research AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bb9ea3a3-caf7-4e7e-a97b-f3c87530dc39 · inbound
The Unseen Hand: Manipulating Model Fairness and SHAP with Targeted Identity Re-Association Attacks AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation beaf34d5-cada-4f9f-9ea2-0c8477825c2f · inbound
FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ea9d31cc-a48b-47b0-aae9-b3003b9f5617 · inbound
FairSelect: A Systematic Evaluation of Multi-Level and Intersectional Algorithmic Fairness AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8bfd89f2-5795-42c5-8f3e-381c23f28b54 · inbound
FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.