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Paper Citation Record · LEDGER

Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2201.08932.

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

pith.paper-citation-record.v1
2201.08932 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:32:43.819867Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:32:44.471481Z

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 aa3dee6f-b8ca-40dd-9a70-9e0f6220cf29 · inbound

TxPert: Leveraging Biochemical Relationships for Out-of-Distribution Transcriptomic Perturbation Prediction cites this paper.

TxPert: Leveraging Biochemical Relationships for Out-of-Distribution Transcriptomic Perturbation Prediction Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:32:44.525052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:32:43.819867Z digest=sha256:ecdacde51a0e95075e5a59363520aa36895f2e930c98fc7e00264c76d93389d0

Observation bf30767b-909f-471c-9bd2-79d75a70b2e1 · inbound

VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks cites this paper.

VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T13:23:58.889285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:23:58.889285Z digest=sha256:f63b2a3a83ab0813ae66a1ead492efa56d3c422ea47e2636244f6298e35658cd