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Paper Citation Record · LEDGER

Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2009.01454.

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

pith.paper-citation-record.v1
2009.01454 v5

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:21:21.156937Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T22:55:34.544500Z

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 a8a36dde-bd2d-4f9c-9780-485c4a294fec · inbound

Testing Individual Fairness in Graph Neural Networks cites this paper.

Testing Individual Fairness in Graph Neural Networks Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T10:21:21.156937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:21:21.156937Z digest=sha256:2470a471fd3088e932a395a73231cf1c8b172546686f2c5c3af347e7d59b04a7

Observation 8e62699a-8dd4-431d-acdc-c69ffd5d2983 · inbound

GABench: A Comprehensive Benchmark for Evaluating LLM Agents on Graph Analysis Tasks cites this paper.

GABench: A Comprehensive Benchmark for Evaluating LLM Agents on Graph Analysis Tasks Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-04T22:55:34.549392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-04T22:55:33.839694Z digest=sha256:2a0b601945fa3c41934430311f191ea59450e56141524fd6cd60dff9b67052cd