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Paper Citation Record · LEDGER

Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.06587.

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

pith.paper-citation-record.v1
2305.06587 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:44:24.177748Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation de69395d-b83c-4a22-838a-59c41035c0d5 · inbound

TAS-TsC: A Data-Driven Framework for Estimating Time of Arrival Using Temporal-Attribute-Spatial Tri-space Coordination of Truck Trajectories cites this paper.

TAS-TsC: A Data-Driven Framework for Estimating Time of Arrival Using Temporal-Attribute-Spatial Tri-space Coordination of Truck Trajectories Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T04:45:49.833933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:45:49.833933Z digest=sha256:cd69f165a81c651b205bd6226773c01eb5b5b188f5876198d939c8d139945e43

Observation f43b27a0-32f7-4a6b-b13c-3a79c6b523f9 · inbound

OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories cites this paper.

OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T16:44:24.177748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:44:24.177748Z digest=sha256:99962b63b778dac02770c8e0de78def0f8944e4cbbe5191f4060a54be8f1fdfb

Observation 6194d66b-4283-4b9c-b8bc-0880a11ef5ef · inbound

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting cites this paper.

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T05:00:53.630196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T05:00:53.501351Z digest=sha256:5ab2f1871a92ef7cf562b9cc8b9ff1dca9141fee4c13c2370bde2a6a3fc214c7