Pith. sign in

Paper Citation Record · LEDGER

Signed Graph Attention Networks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1906.10958.

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

pith.paper-citation-record.v1
1906.10958 v3

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:28:41.147856Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:26:45.522545Z

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 5a0c864c-3ea8-4fe6-975e-95073cf4eca2 · inbound

GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs cites this paper.

GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs Signed Graph Attention Networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T15:28:41.147856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:28:41.147856Z digest=sha256:6f7bd7f82c19cbff86f01e12a1c5996267e6bc7684cfae9981d60d033b852fb9

Observation de1d02e7-b23e-4e66-b276-2baaaf7c82ab · inbound

Signed Dual Attention: Capturing Signed Dependencies in Time Series Forecasting cites this paper.

Signed Dual Attention: Capturing Signed Dependencies in Time Series Forecasting Signed Graph Attention Networks

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:26:45.524416Z

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=pdf_text observed=2026-06-28T07:00:04.541121Z digest=sha256:e57c40bf138ab57991c659b6597136dc3bcdbdd4ed7c21675651db442f721ab2