Pith. sign in

Paper Citation Record · LEDGER

Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.07451.

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

pith.paper-citation-record.v1
2106.07451 v2

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:29:57.109558Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T08:46:07.672103Z

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 6357413f-b228-4377-9de0-b5d866e1fe47 · inbound

When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach cites this paper.

When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-18T08:46:07.676015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T08:45:51.992431Z digest=sha256:811c265786535a57ec3fa146eb305b7ba1864f159a8fbc99d8cee7c739ddf867

Observation 8638cb88-1128-4501-9033-97af44ed0fbd · inbound

OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation cites this paper.

OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-01T13:29:57.109558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T13:29:57.109558Z digest=sha256:21a9da19262db0262b918651b7a80a11f8900430d8b131b71c3cf2820d1ec3c7