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Paper Citation Record · LEDGER

SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.11025.

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

pith.paper-citation-record.v1
2310.11025 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:31:14.885876Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:26:45.497681Z

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 1744a781-a106-4505-875d-cb349873bdc1 · inbound

Rethinking Tokenized Graph Transformers for Node Classification cites this paper.

Rethinking Tokenized Graph Transformers for Node Classification SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-08T10:31:14.885876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T10:31:14.885876Z digest=sha256:5d1e58e2b4509dfa6eb2afae588c48eb44cc2c15f7354e6266838c1ed663c699

Observation b4e4a505-5d4b-4380-82f9-fd66a6cbe84d · inbound

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

Signed Dual Attention: Capturing Signed Dependencies in Time Series Forecasting SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:26:45.499381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T07:00:04.541121Z digest=sha256:48e86e93f08c4158a0f4c26d3773a7081ace396c116f1d61a4b8276de1c8e061